{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Lesson 6 exercises\n", "\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 6.1\n", "\n", "Why is the number of effective independent samples made by a MCMC chain usually less than the total number of MCMC samples?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 6.2\n", "\n", "How can locations of divergences be used to diagnose potential problems with the sampler?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 6.3\n", "\n", "Are you ever guaranteed to properly sample a distribution with a finite number of MCMC steps? If you answered yes, you can stop. If you answered no, explain how this underscores the need for extensive diagnostics." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 6.4\n", "\n", "Did you read the solutions to homework 4?" ] }, { "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", "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": "3.7.6" } }, "nbformat": 4, "nbformat_minor": 4 }