{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# E2. To be completed after lesson 6\n", "\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 2.1\n", "\n", "When performing parameter estimation by optimization, after we find the MAP, why do we locally approximate the posterior near the MAP as a (possibly multivariate) Normal?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 2.2\n", "\n", "What do we mean when we say a distribution has a story? How are stories used for setting likelihoods?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 2.3\n", "\n", "What is meant by the term \"weakly informative prior?\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 2.4\n", "\n", "What is a credible interval? Why may the approximate credible intervals computed using the MAP be off of the true credible interval?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 2.5\n", "\n", "Write down any questions or points of confusion that you 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": "3.11.5" } }, "nbformat": 4, "nbformat_minor": 4 }