{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Parameter estimation with Markov chain Monte Carlo\n", "\n", "[Data set download](https://s3.amazonaws.com/bebi103.caltech.edu/data/singer_transcript_counts.csv)\n", "\n", "
\\n\"+\n", " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", " \"
\\n\"+\n", " \"\\n\"+\n",
" \"from bokeh.resources import INLINE\\n\"+\n",
" \"output_notebook(resources=INLINE)\\n\"+\n",
" \"
\\n\"+\n",
" \"\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"
\\n\"+\n \"<xarray.Dataset>\n", "Dimensions: (chain: 4, draw: 1000)\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", "Data variables:\n", " log10_alpha (chain, draw) float64 0.6647 0.6297 0.6401 ... 0.7576 0.5949\n", " log10_b (chain, draw) float64 1.199 1.231 1.242 ... 1.117 1.12 1.271\n", " alpha (chain, draw) float64 4.621 4.263 4.366 ... 5.784 5.723 3.935\n", " b (chain, draw) float64 15.83 17.03 17.44 ... 13.08 13.18 18.66\n", " beta_ (chain, draw) float64 0.06317 0.05872 ... 0.07587 0.0536\n", "Attributes:\n", " created_at: 2024-01-07T07:06:08.580717\n", " arviz_version: 0.17.0\n", " inference_library: cmdstanpy\n", " inference_library_version: 1.2.0