{"cells": [{"cell_type": "markdown", "metadata": {}, "source": ["# Homework 6.1: Diagnosing nonidentifiability with MCMC (40 pts)\n", "\n", "<hr>"]}, {"cell_type": "markdown", "metadata": {}, "source": ["In [Homework 1.3c](http://bebi103.caltech.edu.s3-website-us-east-1.amazonaws.com/2020b/content/homework/hw1/hw1.3.html) and in [Homework 2.3c](http://bebi103.caltech.edu.s3-website-us-east-1.amazonaws.com/2020b/content/homework/hw2/hw2.3.html), you respectively used frequentist techniques and brute-force plotting of the posterior to diagnose nonidentifiability in two models. \n", "\n", "**a)** In those models, we used Jeffreys priors. Re-write the models using reasonable weakly informative priors.\n", "\n", "**b)** Use MCMC to diagnose the nonidentifiability in the models."]}, {"cell_type": "markdown", "metadata": {}, "source": ["<br/>"]}], "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}