{
"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
}