{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# E6. To be completed after lesson 19\n", "\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 6.1\n", "\n", "Describe in words the posterior predictive distribution." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 6.2\n", "\n", "What is the use in computing the *pointwise* log likelihood for each posterior sample?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 6.3\n", "\n", "Why are graphical posterior predictive checks still necessary, and indeed essential, when we can compute WAICs and LOOs?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 6.4\n", "\n", "Did you read the solutions to homework 5?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 6.5\n", "\n", "Write down any questions you may have." ] } ], "metadata": { "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": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 4 }