{ "cells": [ { "cell_type": "markdown", "id": "8f167dc1", "metadata": {}, "source": [ "## 8. Homework project\n", "\n", "
\n", "\n", "**Homework exercise (200 points):**\n", "\n", "Choose a scientific question and dataset of your own and implement a suitable Bayesian workflow to answer your question. Alternatively, you may design an experiment to answer your question, and work with simulated data. Separate your working into the following topics:\n", "\n", "* Problem statement\n", "* Model building\n", "* Model checking\n", "* Model development\n", "* Model comparison (optional)\n", "* Experiment design (optional)\n", "* Conclusions\n", "\n", "You are free to choice any topic, but a few options are also given below." ] }, { "cell_type": "markdown", "id": "a1757f51", "metadata": {}, "source": [ "**Example topics**\n", "\n", "* Studying the evolution of cosmic star formation with galaxy data: https://astrostatistics.psu.edu/datasets/COMBO17.html\n", "* Solar cycle and sun spot forecasting: https://wwwbis.sidc.be/silso/datafiles \n", "* To be continued...\n", "\n", "
\n", "\n", "If you have a question/dataset of interest but aren't sure of a dataset/question to match, then ask to discuss! Questions can be sent to f.capel@tum.de." ] }, { "cell_type": "code", "execution_count": null, "id": "a942fb8e", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "bayesian_workflow", "language": "python", "name": "bayesian_workflow" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 5 }