{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Model comparison in practice\n", "\n", "[Data set download](https://s3.amazonaws.com/bebi103.caltech.edu/data/singer_transcript_counts.csv)\n", "\n", "
" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "nbsphinx": "hidden", "tags": [] }, "outputs": [], "source": [ "# Colab setup ------------------\n", "import os, shutil, sys, subprocess, urllib.request\n", "if \"google.colab\" in sys.modules:\n", " cmd = \"pip install --upgrade iqplot colorcet bebi103 arviz cmdstanpy watermark\"\n", " process = subprocess.Popen(cmd.split(), stdout=subprocess.PIPE, stderr=subprocess.PIPE)\n", " stdout, stderr = process.communicate()\n", " from cmdstanpy.install_cmdstan import latest_version\n", " cmdstan_version = latest_version()\n", " cmdstan_url = f\"https://github.com/stan-dev/cmdstan/releases/download/v{cmdstan_version}/\"\n", " fname = f\"colab-cmdstan-{cmdstan_version}.tgz\"\n", " urllib.request.urlretrieve(cmdstan_url + fname, fname)\n", " shutil.unpack_archive(fname)\n", " os.environ[\"CMDSTAN\"] = f\"./cmdstan-{cmdstan_version}\"\n", " data_path = \"https://s3.amazonaws.com/bebi103.caltech.edu/data/\"\n", "else:\n", " data_path = \"../data/\"\n", "# ------------------------------" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/bois/miniconda3/envs/bebi103_build/lib/python3.11/site-packages/dask/dataframe/_pyarrow_compat.py:23: UserWarning: You are using pyarrow version 11.0.0 which is known to be insecure. See https://www.cve.org/CVERecord?id=CVE-2023-47248 for further details. Please upgrade to pyarrow>=14.0.1 or install pyarrow-hotfix to patch your current version.\n", " warnings.warn(\n" ] }, { "data": { "text/html": [ "\n", "
\n", " \n", " Loading BokehJS ...\n", "
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\\n\"+\n \"

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\\n\"+\n \"\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(\"ce3e81cf-bf8c-4122-98fb-b38660bfb4b1\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.3.0.min.js\", \"https://unpkg.com/@holoviz/panel@1.3.1/dist/panel.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\nif (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(\"ce3e81cf-bf8c-4122-98fb-b38660bfb4b1\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import pandas as pd\n", "\n", "import cmdstanpy\n", "import arviz as az\n", "\n", "import bebi103\n", "\n", "import bokeh.io\n", "import bokeh.plotting\n", "bokeh.io.output_notebook()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "When comparing models, posterior predictive checks are a must. As discussed in the previous lesson, we can use **information criteria** to assess relative predictive effectiveness of models. In order to understand this lesson, you will need have carefully read and understand the previous lesson on the theory behind model comparison.\n", "\n", "The key quantity we compute for more comparison is the **expected log pointwise predictive density**, or elpd. There were a few key ideas and assumptions in using elpd.\n", "\n", "1. The elpd is an approximation of the difference in the [Kullback-Leibler divergence](https://en.wikipedia.org/wiki/Kullback–Leibler_divergence) between the posterior predictive distribution and the true generative distribution.\n", "2. For our set of measurements $y = (y_1, y_2, \\ldots y_N)$, where each $y_i$ may be multidimensional (as you would have, for example, of beak length/beak depth measurements for a single finch), we assume that $y_i$'s are independently distributed, both in the model and in the true generative distribution.\n", "\n", "With these assumptions, we can approximately compute the elpd using the Watanabe-Akaike information criterion (WAIC) or leave-one-out cross validation (LOO). See [this paper by Vehtari, Gelman, and Gabry](https://doi.org/10.1007/s11222-016-9696-4) ([arXiv version](https://arxiv.org/abs/1507.04544)) for more details about the implementation. As described in that paper, LOO, when computed using Pareto-smoothed importance sampling, is the preferred method for computing an approximate elpd.\n", "\n", "Importantly, the (approximate) elpd by itself is not terribly useful in assessing a model. The elpd of one prospective model needs to be compared to another. For this comparison, we can compute Akaike weights. This is the most straightforward calculation of relative weights of respective models, and perhaps easiest to understand. However, it may not be the best way to assess the *predictive* capabilities of a model, especially in situations where the true generative model is not known (which is often the case for us as scientists). As we think about generative models, and we are not sure which model best generates observed data, it is useful to think about **model averaging** if our aim is to be predictive. The idea here is that we do not know which model generates data. Instead, we try to find a combination of models that spans all of the models we are considering, that best generate the data. The respective weights of the models give their contributions to this combination of models. As a scientist, I tend to shy away from model averaging; I am rather seeking to understand how nature generates the observations I see, and nature is not trying to predict, nor average models. However, taking a model averaging approach with an eye for optimizing predictive performance leads to more robust estimates of model weights, as outlined in [this paper by Yao and coworkers](https://doi.org/10.1214/17-BA1091), which describes a technique known as **stacking**. \n", "\n", "In this tutorial, we will demonstrate how to calculate model weights both by using Akaike weights (and variants thereof), and stacking. Conveniently, this may be done approximately directly from samples out of the posterior distributions. The [ArviZ package](https://arviz-devs.github.io/arviz/) provides much of the functionality we need." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## An example model comparison\n", "\n", "To show how we can do an model comparison, we will again consider the data set from [Singer and coworkers](../09/parameter_estimation_with_mcmc.ipynb), where they performed RNA FISH to determine the copy numbers of RNA transcripts of specific genes in individual cells in their samples. The data set can be downloaded [here](https://s3.amazonaws.com/bebi103.caltech.edu/data/singer_transcript_counts.csv).\n", "\n", "We will work with the Rex1 gene. In previous lessons, we considered two models. First, a model in which transcript counts are generated from a single Negative Binomial distribution. Second, a mixture model in which the transcript counts are generated from two Negative Binomial distributions. Note that this is a purely academic exercise, since the first model will fail posterior predictive checks quite spectacularly. We would never really come to this point where we needed to do a model comparison, but we proceed to demonstrate how it is done in practice." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Computing the pointwise log likelihood\n", "\n", "Recalling from lecture, the elpd is the the logarithm of the **posterior predictive distribution**, $f(\\tilde{y}_i\\mid y)$, averaged over the true generative distribution $f_t(\\tilde{y}_i)$.\n", "\n", "\\begin{align}\n", "\\text{elpd} = \\sum_{i=1}^N\\int\\mathrm{d}\\tilde{y}_i\\,\\,f_t(\\tilde{y}_i)\\,\\ln f(\\tilde{y}_i\\mid y).\n", "\\end{align}\n", "\n", "When generating our samples, we therefore also need to compute samples of the value of the log likelihood. To do this, for each set of parameters $\\theta$ that we sample out of the posterior, we compute the *pointwise* log likelihood of the data set, using the parameters $\\theta$. The Stan code below includes these log likelihood samples as well as posterior predictive checks for the single Negative Binomial model. Read the code carefully.\n", "\n", "```stan\n", "data {\n", " int N;\n", " array[N] int n;\n", "}\n", "\n", "\n", "parameters {\n", " real log10_alpha;\n", " real log10_b;\n", "}\n", "\n", "\n", "transformed parameters {\n", " real alpha = 10^log10_alpha;\n", " real b = 10^log10_b;\n", " real beta_ = 1.0 / b;\n", "}\n", "\n", "\n", "model {\n", " // Priors\n", " log10_alpha ~ normal(0, 1);\n", " log10_b ~ normal(2, 1);\n", "\n", " // Likelihood\n", " n ~ neg_binomial(alpha, beta_);\n", "}\n", "\n", "\n", "generated quantities {\n", " array[N] int n_ppc;\n", " array[N] real log_lik;\n", "\n", " // Draw posterior predictive data set\n", " for (i in 1:N) {\n", " n_ppc[i] = neg_binomial_rng(alpha, beta_);\n", " }\n", " \n", " // Compute pointwise log likelihood\n", " for (i in 1:N) {\n", " log_lik[i] = neg_binomial_lpmf(n[i] | alpha, beta_);\n", " }\n", "}\n", "```\n", "\n", "In the array `log_lik`, I store the pointwise log likelihood. That is, for each measurement (in this case for each $n_i$), I compute the log likelihood for that data point using the parameters (in this case `alpha` and `beta_`) that I sampled out of the posterior. Conveniently, Stan's distributions all have a function that ends in `_lpdf` that compute the log probability density function for the distribution (with `_lpmf` for discrete distributions that computes the log probability mass function for the distribution). \n", "\n", "Let's sample out of this generative model, keeping samples of posterior predictive data sets and pointwise log likelihoods." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "da6b04454b094271b2014840e5fd7126", "version_major": 2, "version_minor": 0 }, "text/plain": [ "chain 1 | | 00:00 Status" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "080fe244f6104052959c71c4ebca0d56", "version_major": 2, "version_minor": 0 }, "text/plain": [ "chain 2 | | 00:00 Status" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "9a3aff8b6c69434a83e57ef7ba3c7b14", "version_major": 2, "version_minor": 0 }, "text/plain": [ "chain 3 | | 00:00 Status" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "83c888ba5c444dd694fb0fc1b1e4ca6b", "version_major": 2, "version_minor": 0 }, "text/plain": [ "chain 4 | | 00:00 Status" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ " \n" ] } ], "source": [ "# Load data and make data dictionary\n", "df = pd.read_csv(os.path.join(data_path, \"singer_transcript_counts.csv\"), comment=\"#\")\n", "data = {\"N\": len(df), \"n\": df[\"Rex1\"].values.astype(int)}\n", "\n", "with bebi103.stan.disable_logging():\n", " # Compile the model\n", " sm = cmdstanpy.CmdStanModel(stan_file=\"neg_binom.stan\")\n", " \n", " # Perform sampling\n", " samples = sm.sample(data=data)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "When we convert the samples to an ArviZ object, we need to specify the posterior predictive *and* log likelihood." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Convert to ArviZ object\n", "samples = az.from_cmdstanpy(\n", " posterior=samples, posterior_predictive=\"n_ppc\", log_likelihood=\"log_lik\"\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, we will check the diagnostics (as we always should) and make a corner plot." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Effective sample size looks reasonable for all parameters.\n", "\n", "Rhat looks reasonable for all parameters.\n", "\n", "0 of 4000 (0.0%) iterations ended with a divergence.\n", "\n", "0 of 4000 (0.0%) iterations saturated the maximum tree depth of 10.\n", "\n", "E-BFMI indicated no pathological behavior.\n" ] }, { "data": { "text/html": [ "\n", "
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" const render_items = [{\"docid\":\"1d3e0fdd-1e96-4706-b8c0-4540ba3bc6eb\",\"roots\":{\"p1154\":\"c981a075-0f27-4903-a69b-bbde41057377\"},\"root_ids\":[\"p1154\"]}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", " }\n", " if (root.Bokeh !== undefined) {\n", " embed_document(root);\n", " } else {\n", " let attempts = 0;\n", " const timer = setInterval(function(root) {\n", " if (root.Bokeh !== undefined) {\n", " clearInterval(timer);\n", " embed_document(root);\n", " } else {\n", " attempts++;\n", " if (attempts > 100) {\n", " clearInterval(timer);\n", " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n", " }\n", " }\n", " }, 10, root)\n", " }\n", "})(window);" ], "application/vnd.bokehjs_exec.v0+json": "" }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { "id": "p1154" } }, "output_type": "display_data" } ], "source": [ "# Check diagnostics\n", "bebi103.stan.check_all_diagnostics(samples)\n", "\n", "# Make a corner plot\n", "bokeh.io.show(bebi103.viz.corner(samples, parameters=['alpha', 'b']))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Everything looks good. Actually, it doesn't. The *sampling* looks good, but we should do posterior predictive checks." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "
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" const render_items = [{\"docid\":\"aced8ce2-a686-462d-be54-f8115e0fbea0\",\"roots\":{\"p1171\":\"ddb9f2a0-8428-4b33-b5d4-e813d6b4a4f4\"},\"root_ids\":[\"p1171\"]}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", " }\n", " if (root.Bokeh !== undefined) {\n", " embed_document(root);\n", " } else {\n", " let attempts = 0;\n", " const timer = setInterval(function(root) {\n", " if (root.Bokeh !== undefined) {\n", " clearInterval(timer);\n", " embed_document(root);\n", " } else {\n", " attempts++;\n", " if (attempts > 100) {\n", " clearInterval(timer);\n", " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n", " }\n", " }\n", " }, 10, root)\n", " }\n", "})(window);" ], "application/vnd.bokehjs_exec.v0+json": "" }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { "id": "p1171" } }, "output_type": "display_data" } ], "source": [ "n_ppc = samples.posterior_predictive.n_ppc.stack(\n", " {\"sample\": (\"chain\", \"draw\")}\n", ").transpose(\"sample\", \"n_ppc_dim_0\")\n", "\n", "bokeh.io.show(\n", " bebi103.viz.predictive_ecdf(\n", " n_ppc,\n", " name=\"n_ppc\",\n", " data=df[\"Rex1\"].values,\n", " x_axis_label=\"mRNA copy number\",\n", " )\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We have clearly failed the posterior predictive checks. We can stop here, but we will continue to compute the WAIC and LOO for illustrative purposes. As we do that, let's take a quick look at the output so we can see how the log likelihood samples are organized. The log likelihood is stored in ArviZ `InferenceData` objects in the `log_likelihood` attribute." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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<xarray.Dataset>\n",
       "Dimensions:        (chain: 4, draw: 1000, log_lik_dim_0: 279)\n",
       "Coordinates:\n",
       "  * chain          (chain) int64 0 1 2 3\n",
       "  * draw           (draw) int64 0 1 2 3 4 5 6 7 ... 993 994 995 996 997 998 999\n",
       "  * log_lik_dim_0  (log_lik_dim_0) int64 0 1 2 3 4 5 ... 273 274 275 276 277 278\n",
       "Data variables:\n",
       "    log_lik        (chain, draw, log_lik_dim_0) float64 -5.53 -5.972 ... -6.953\n",
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       "    created_at:                 2024-02-01T21:51:04.108606\n",
       "    arviz_version:              0.17.0\n",
       "    inference_library:          cmdstanpy\n",
       "    inference_library_version:  1.2.0
" ], "text/plain": [ "\n", "Dimensions: (chain: 4, draw: 1000, log_lik_dim_0: 279)\n", "Coordinates:\n", " * chain (chain) int64 0 1 2 3\n", " * draw (draw) int64 0 1 2 3 4 5 6 7 ... 993 994 995 996 997 998 999\n", " * log_lik_dim_0 (log_lik_dim_0) int64 0 1 2 3 4 5 ... 273 274 275 276 277 278\n", "Data variables:\n", " log_lik (chain, draw, log_lik_dim_0) float64 -5.53 -5.972 ... -6.953\n", "Attributes:\n", " created_at: 2024-02-01T21:51:04.108606\n", " arviz_version: 0.17.0\n", " inference_library: cmdstanpy\n", " inference_library_version: 1.2.0" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "samples.log_likelihood" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The log likelihood is three dimensional, one dimension each for chain and draw, and then the final dimension is for the pointwise log-likelihood estimates.\n", "\n", "Given that the log likelihood is stored in the ArviZ object, we can directly use the samples to compute the WAIC and LOO." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Computing the WAIC and LOO\n", "\n", "We will start with the WAIC. We use the `scale=\"deviance\"` kwarg to get the WAIC. By default, `az.waic()` will return the estimate for the elpd and not the traditionally used $-2\\mathrm{elpd}_\\mathrm{WAIC}$, which is why we use the `scale=\"deviance\"` kwarg." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Computed from 4000 posterior samples and 279 observations log-likelihood matrix.\n", "\n", " Estimate SE\n", "deviance_waic 3281.44 17.28\n", "p_waic 2.04 -" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "az.waic(samples, scale=\"deviance\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The output gives an estimate for the WAIC, and also the contribution of $p_\\mathrm{waic}$. It also gives an estimate of the standard error in the WAIC.\n", "\n", "Let's now compute the LOO." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Computed from 4000 posterior samples and 279 observations log-likelihood matrix.\n", "\n", " Estimate SE\n", "deviance_loo 3281.45 17.28\n", "p_loo 2.04 -\n", "------\n", "\n", "Pareto k diagnostic values:\n", " Count Pct.\n", "(-Inf, 0.5] (good) 279 100.0%\n", " (0.5, 0.7] (ok) 0 0.0%\n", " (0.7, 1] (bad) 0 0.0%\n", " (1, Inf) (very bad) 0 0.0%" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "single_loo = az.loo(samples, scale=\"deviance\")\n", "\n", "single_loo" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We see that the LOO and WAIC give almost identical results (as they should). The Pareto k diagnostic is also good, meaning that the LOO calculation does not have obvious pathologies. Remember, though, that LOO has better performance across a wider variety of models." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Calculations with the mixture model\n", "\n", "Now, let's do the same calculation for the mixture model. In this case, we do not have a built-in distribution to use a `_logpmf` function. Fortunately, the `log_mix()` function in Stan accomplishes exactly what we need, as it did when we added it to `target` in the model specification.\n", "\n", "```stan\n", "data {\n", " int N;\n", " array[N] int n;\n", "}\n", "\n", "\n", "parameters {\n", " vector[2] alpha;\n", " vector[2] b;\n", " real w;\n", "}\n", "\n", "\n", "transformed parameters {\n", " vector[2] beta_ = 1.0 ./ b;\n", "}\n", "\n", "\n", "model {\n", " // Priors\n", " alpha ~ lognormal(0.0, 2.3);\n", " b ~ lognormal(4.6, 2.3);\n", " w ~ beta(1.0, 1.0);\n", "\n", " // Likelihood\n", " for (n_val in n) {\n", " target += log_mix(\n", " w,\n", " neg_binomial_lpmf(n_val | alpha[1], beta_[1]),\n", " neg_binomial_lpmf(n_val | alpha[2], beta_[2])\n", " );\n", " }\n", "}\n", "\n", "\n", "generated quantities {\n", " array[N] int n_ppc;\n", " array[N] real log_lik;\n", " \n", " // Posterior predictive checks\n", " for (i in 1:N) {\n", " if (uniform_rng(0.0, 1.0) < w) {\n", " n_ppc[i] = neg_binomial_rng(alpha[1], beta_[1]);\n", " }\n", " else {\n", " n_ppc[i] = neg_binomial_rng(alpha[2], beta_[2]);\n", " }\n", " }\n", " \n", " // Pointwise log likelihood\n", " for (i in 1:N) {\n", " log_lik[i] = log_mix(\n", " w,\n", " neg_binomial_lpmf(n[i] | alpha[1], beta_[1]),\n", " neg_binomial_lpmf(n[i] | alpha[2], beta_[2]));\n", " }\n", "}\n", "```\n", "\n", "Let's compile the model and get some samples." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "d1c73534fd084e53b8bdd4950c081fd5", "version_major": 2, "version_minor": 0 }, "text/plain": [ "chain 1 | | 00:00 Status" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "8f11f0898dc94f819fe2f2974dcca7d3", "version_major": 2, "version_minor": 0 }, "text/plain": [ "chain 2 | | 00:00 Status" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "f61c0ff4a3bf4ed3b050f4e4d417f4e2", "version_major": 2, "version_minor": 0 }, "text/plain": [ "chain 3 | | 00:00 Status" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "f4376663dcbc46b08802d441f7621617", "version_major": 2, "version_minor": 0 }, "text/plain": [ "chain 4 | | 00:00 Status" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ " \n" ] } ], "source": [ "with bebi103.stan.disable_logging():\n", " sm_mix = cmdstanpy.CmdStanModel(stan_file=\"neg_binom_mix.stan\")\n", " samples_mix = sm_mix.sample(data=data, seed=3252)\n", "\n", "samples_mix = az.from_cmdstanpy(\n", " posterior=samples_mix, posterior_predictive=\"n_ppc\", log_likelihood=\"log_lik\"\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We'll do our usual diagnostic checks and make a corner plot." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ESS for parameter alpha[0] is 11.288214890989488.\n", "tail-ESS for parameter alpha[0] is 30.741700971541686.\n", "ESS for parameter alpha[1] is 14.927706967062717.\n", "ESS for parameter b[0] is 7.261021660730003.\n", "tail-ESS for parameter b[0] is 36.24951441172062.\n", "ESS for parameter b[1] is 7.508176956465391.\n", "tail-ESS for parameter b[1] is 45.51440474005312.\n", "ESS for parameter w is 7.240249308310153.\n", "tail-ESS for parameter w is 31.504119431969524.\n", "ESS for parameter beta_[0] is 7.261011495230468.\n", "tail-ESS for parameter beta_[0] is 36.249514411720966.\n", "ESS for parameter beta_[1] is 7.508176685094074.\n", "tail-ESS for parameter beta_[1] is 45.514404740052576.\n", " ESS or tail-ESS below 100 per chain indicates that expectation values\n", " computed from samples are unlikely to be good approximations of the\n", " true expectation values.\n", "\n", "Rhat for parameter alpha[0] is 1.2726060100400034.\n", "Rhat for parameter alpha[1] is 1.1940342985931218.\n", "Rhat for parameter b[0] is 1.5314590580911727.\n", "Rhat for parameter b[1] is 1.501652442205019.\n", "Rhat for parameter w is 1.531795690467478.\n", "Rhat for parameter beta_[0] is 1.5314591389659473.\n", "Rhat for parameter beta_[1] is 1.5016524586402822.\n", " Rank-normalized Rhat above 1.01 indicates that the chains very likely have not mixed.\n", "\n", "0 of 4000 (0.0%) iterations ended with a divergence.\n", "\n", "0 of 4000 (0.0%) iterations saturated the maximum tree depth of 10.\n", "\n", "E-BFMI indicated no pathological behavior.\n" ] }, { "data": { "text/html": [ "\n", "
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\"},\"shape\":[4000],\"dtype\":\"float64\",\"order\":\"little\"}],[\"alpha[1]\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[4000],\"dtype\":\"float64\",\"order\":\"little\"}],[\"b[1]\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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" const render_items = [{\"docid\":\"1ff3f360-8aea-4e90-9958-0f166e3da831\",\"roots\":{\"p2019\":\"abbb3c00-c503-499c-b941-5d389a70762d\"},\"root_ids\":[\"p2019\"]}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", " }\n", " if (root.Bokeh !== undefined) {\n", " embed_document(root);\n", " } else {\n", " let attempts = 0;\n", " const timer = setInterval(function(root) {\n", " if (root.Bokeh !== undefined) {\n", " clearInterval(timer);\n", " embed_document(root);\n", " } else {\n", " attempts++;\n", " if (attempts > 100) {\n", " clearInterval(timer);\n", " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n", " }\n", " }\n", " }, 10, root)\n", " }\n", "})(window);" ], "application/vnd.bokehjs_exec.v0+json": "" }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { "id": "p2019" } }, "output_type": "display_data" } ], "source": [ "# Check diagnostics\n", "bebi103.stan.check_all_diagnostics(samples_mix)\n", "\n", "# Make corner plot\n", "bokeh.io.show(\n", " bebi103.viz.corner(\n", " samples_mix,\n", " parameters=[\"alpha[0]\", \"alpha[1]\", \"b[0]\", \"b[1]\", \"w\"],\n", " xtick_label_orientation=np.pi / 4,\n", " )\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Oof! We failed the ESS and Rhat diagnostics. Recall that sampling is [tricky because of label switching](../09/mixture_model_stan.ipynb). To protect against label switching, we will initialize the walker near where chain 1 sampled." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'alpha': [3.1764846319999998, 5.31663406],\n", " 'b': [6.643601560000001, 6.643601560000001],\n", " 'w': 0.17168086700000001}" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Compute mean of parameters for chain 1\n", "inits = {\n", " \"alpha\": [\n", " float(samples_mix.posterior.sel(chain=1, alpha_dim_0=0).alpha.mean()),\n", " float(samples_mix.posterior.sel(chain=1, alpha_dim_0=1).alpha.mean()),\n", " ],\n", " \"b\": [\n", " float(samples_mix.posterior.sel(chain=1, b_dim_0=0).b.mean()),\n", " float(samples_mix.posterior.sel(chain=1, b_dim_0=0).b.mean()),\n", " ],\n", " \"w\": float(samples_mix.posterior.sel(chain=1).w.mean()),\n", "}\n", "\n", "# Take a look\n", "inits" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we'll use this as our initial walker positions." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "6ad054608c8646b99d3406bb81820d73", "version_major": 2, "version_minor": 0 }, "text/plain": [ "chain 1 | | 00:00 Status" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "176cb93c0e734644ae27e36b997ddb60", "version_major": 2, "version_minor": 0 }, "text/plain": [ "chain 2 | | 00:00 Status" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "802a276050d046eab2376947da1e57fb", "version_major": 2, "version_minor": 0 }, "text/plain": [ "chain 3 | | 00:00 Status" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "9b3f2fd5a15c4332961a4f64d2551ec0", "version_major": 2, "version_minor": 0 }, "text/plain": [ "chain 4 | | 00:00 Status" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ " \n", "Effective sample size looks reasonable for all parameters.\n", "\n", "Rhat looks reasonable for all parameters.\n", "\n", "0 of 4000 (0.0%) iterations ended with a divergence.\n", "\n", "0 of 4000 (0.0%) iterations saturated the maximum tree depth of 10.\n", "\n", "E-BFMI indicated no pathological behavior.\n" ] }, { "data": { "text/html": [ "\n", "
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\"},\"shape\":[4000],\"dtype\":\"float64\",\"order\":\"little\"}],[\"alpha[1]\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[4000],\"dtype\":\"float64\",\"order\":\"little\"}],[\"b[1]\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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" const render_items = [{\"docid\":\"e4f0c04d-34be-4e0c-bc39-3dbc32c9db87\",\"roots\":{\"p2788\":\"e8e32a6b-0b70-499c-b512-a0d2e6bea47d\"},\"root_ids\":[\"p2788\"]}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", " }\n", " if (root.Bokeh !== undefined) {\n", " embed_document(root);\n", " } else {\n", " let attempts = 0;\n", " const timer = setInterval(function(root) {\n", " if (root.Bokeh !== undefined) {\n", " clearInterval(timer);\n", " embed_document(root);\n", " } else {\n", " attempts++;\n", " if (attempts > 100) {\n", " clearInterval(timer);\n", " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n", " }\n", " }\n", " }, 10, root)\n", " }\n", "})(window);" ], "application/vnd.bokehjs_exec.v0+json": "" }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { "id": "p2788" } }, "output_type": "display_data" } ], "source": [ "# Sample\n", "with bebi103.stan.disable_logging():\n", " samples_mix = sm_mix.sample(data, inits=inits)\n", "\n", "# Convert to ArviZ\n", "samples_mix = az.from_cmdstanpy(\n", " posterior=samples_mix, posterior_predictive=\"n_ppc\", log_likelihood=\"log_lik\"\n", ")\n", "\n", "# Check diagnostics\n", "bebi103.stan.check_all_diagnostics(samples_mix)\n", "\n", "# Make corner plot\n", "bokeh.io.show(\n", " bebi103.viz.corner(\n", " samples_mix,\n", " parameters=[\"alpha[0]\", \"alpha[1]\", \"b[0]\", \"b[1]\", \"w\"],\n", " xtick_label_orientation=np.pi / 4,\n", " )\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Everything looks good! We can do a quick posterior predictive check." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "
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" const render_items = [{\"docid\":\"3faeb2b5-c9f4-4040-b95a-761a983c3baf\",\"roots\":{\"p2817\":\"da7a6f7c-0c44-443a-a4e6-b6850f1df2db\"},\"root_ids\":[\"p2817\"]}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", " }\n", " if (root.Bokeh !== undefined) {\n", " embed_document(root);\n", " } else {\n", " let attempts = 0;\n", " const timer = setInterval(function(root) {\n", " if (root.Bokeh !== undefined) {\n", " clearInterval(timer);\n", " embed_document(root);\n", " } else {\n", " attempts++;\n", " if (attempts > 100) {\n", " clearInterval(timer);\n", " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n", " }\n", " }\n", " }, 10, root)\n", " }\n", "})(window);" ], "application/vnd.bokehjs_exec.v0+json": "" }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { "id": "p2817" } }, "output_type": "display_data" } ], "source": [ "n_ppc = samples_mix.posterior_predictive.n_ppc.stack(\n", " {\"sample\": (\"chain\", \"draw\")}\n", ").transpose(\"sample\", \"n_ppc_dim_0\")\n", "\n", "bokeh.io.show(\n", " bebi103.viz.predictive_ecdf(\n", " n_ppc,\n", " name=\"n_ppc\",\n", " data=df[\"Rex1\"].values,\n", " x_axis_label=\"mRNA copy number\",\n", " )\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Much nicer! The model allows for plenty of flexibility to allow for the observed bimodal behavior. Let's proceed to compute the LOO and WAIC, starting with the WAIC." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Computed from 4000 posterior samples and 279 observations log-likelihood matrix.\n", "\n", " Estimate SE\n", "deviance_waic 3191.49 21.76\n", "p_waic 5.57 -" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "az.waic(samples_mix, scale=\"deviance\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And the LOO." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Computed from 4000 posterior samples and 279 observations log-likelihood matrix.\n", "\n", " Estimate SE\n", "deviance_loo 3191.52 21.76\n", "p_loo 5.59 -\n", "------\n", "\n", "Pareto k diagnostic values:\n", " Count Pct.\n", "(-Inf, 0.5] (good) 279 100.0%\n", " (0.5, 0.7] (ok) 0 0.0%\n", " (0.7, 1] (bad) 0 0.0%\n", " (1, Inf) (very bad) 0 0.0%" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mix_loo = az.loo(samples_mix, scale=\"deviance\")\n", "\n", "mix_loo" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As expected, we get almost the same value for the two information criteria. Let's take a quick look at the difference of the LOO's between the mixture model and the single Negative Binomial model." ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "-89.92969330711185" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mix_loo.elpd_loo - single_loo.elpd_loo" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Remember that for historical reasons,\n", "\n", "\\begin{align}\n", "\\text{WAIC} \\approx -2\\,\\text{elpd}, \\\\[1em]\n", "\\text{LOO} \\approx -2\\,\\text{elpd}. \\\\[1em]\n", "\\end{align}\n", "\n", "The bigger the elpd is, the smaller the Kullback-Leibler divergence is, so the better the model is. Thus, a bigger elpd means a smaller WAIC or LOO. So, the smaller the WAIC or LOO is, the closer the model is to the true generative model. This WAIC and LOO are smaller for the mixture model than for the single Negative Binomial model, so it is a better model." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Computing the weights\n", "\n", "We can directly compute the Akaike weights from the values of the LOO, using\n", "\n", "\\begin{align}\n", "w_i = \\frac{\\exp\\left[-(\\text{LOO}_i-\\text{LOO}_j)/2\\right]}{1 + \\exp\\left[-(\\text{LOO}_i-\\text{LOO}_j)/2\\right]}.\n", "\\end{align}" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Mixture model weight: 1.0\n", "Single Neg. Binom. model weight: 2.964935286246496e-20\n" ] } ], "source": [ "d_loo = mix_loo.elpd_loo - single_loo.elpd_loo\n", "w_single = np.exp(d_loo/2) / (1 + np.exp(d_loo/2))\n", "w_mix = 1 - w_single\n", "\n", "print(' Mixture model weight:', w_mix)\n", "print('Single Neg. Binom. model weight:', w_single)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In agreement with our posterior predictive checks, the mixture model is far more predictive than the single negative binomial model.\n", "\n", "As I mentioned above, ArviZ offers more a sophisticated means of computing the weights using stacking. The results tend to be less extreme (and therefore more conservative) that directly computing the Akaike weights. We can use the `az.compare()` function to do the calculation. We will do it using the LOO (WAIC is default, so we use the `ic` kwarg). The first input is a dictionary containing the MCMC samples, where the keys of the dictionary are the names of the models." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/bois/miniconda3/envs/bebi103_build/lib/python3.11/site-packages/arviz/stats/stats.py:309: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value 'False' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n", " df_comp.loc[val] = (\n", "/Users/bois/miniconda3/envs/bebi103_build/lib/python3.11/site-packages/arviz/stats/stats.py:309: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value 'deviance' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n", " df_comp.loc[val] = (\n" ] }, { "data": { "text/html": [ "
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rankelpd_loop_looelpd_diffweightsedsewarningscale
mix03191.5173895.5871620.0000000.98719921.7572380.000000Falsedeviance
single13281.4470822.04235689.9296930.01280117.28344717.480505Falsedeviance
\n", "
" ], "text/plain": [ " rank elpd_loo p_loo elpd_diff weight se \\\n", "mix 0 3191.517389 5.587162 0.000000 0.987199 21.757238 \n", "single 1 3281.447082 2.042356 89.929693 0.012801 17.283447 \n", "\n", " dse warning scale \n", "mix 0.000000 False deviance \n", "single 17.480505 False deviance " ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "az.compare({\"single\": samples, \"mix\": samples_mix}, ic=\"loo\", scale=\"deviance\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The mixture model is still dominant. (Again, we are not going into the details of the stacking calculation, but you can read about it in [this paper by Yao and coworkers](https://doi.org/10.1214/17-BA1091).)" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "bebi103.stan.clean_cmdstan()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Computing environment" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Python implementation: CPython\n", "Python version : 3.11.5\n", "IPython version : 8.15.0\n", "\n", "numpy : 1.26.3\n", "pandas : 2.1.4\n", "cmdstanpy : 1.2.0\n", "arviz : 0.17.0\n", "bokeh : 3.3.0\n", "bebi103 : 0.1.19\n", "jupyterlab: 4.0.10\n", "\n", "cmdstan : 2.33.1\n" ] } ], "source": [ "%load_ext watermark\n", "%watermark -v -p numpy,pandas,cmdstanpy,arviz,bokeh,bebi103,jupyterlab\n", "print(\"cmdstan :\", bebi103.stan.cmdstan_version())" ] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.5" } }, "nbformat": 4, "nbformat_minor": 4 }