{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# E1. To be completed after lesson 5\n", "\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 1.1\n", "\n", "What is marginalization? Why do we want to compute marginalized posteriors?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 1.2\n", "\n", "Indicate if each of the following statements makes sense and say why or why not.\n", "\n", "1. I will attempt to find a prior distribution that is conjugate to the likelihood I have constructed in my generative model.\n", "2. I will attempt to find a likelihood distribution that is conjugate to my prior." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 1.3\n", "\n", "What is the curse of dimensionality and how did it appear in the last few lessons?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 1.4\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 }