Due dates of exams will not move, however the timeline of topics and smaller assignments might be updated throughout the semester. All videos should be downloaded in advance to avoid issues with internet connections. This can be done either by clicking on each video. A more automated way would be to clone to repository. All videos, are stored in videos/ under each lecture files.
| Date |
Lesson |
Slides |
Video |
Video |
Lab RMD/PDF |
Lab Video |
Lab Partial Solution |
HW |
Misc |
Reading |
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Week 00 (Due before 1st Day of Class) |
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| Tues, Aug 30 |
Welcome to STA 360 |
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| Thur, Sep 1 |
Module 1: Intro to Bayes |
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| Fri, Sep 2 |
Lab 2: Intro to Bayes |
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Week 01 |
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| Tues, Sep 6 |
Module 2: Intro to Decision Theory |
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| Thur, Sep 8 |
Finish Modules 1-2, Answering Questions |
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| Fri, Sep 9 |
Lab 3: Intro to Decision Theory |
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Week 02 |
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| Tues, Sep 13 |
Module 3: Intro to Normal Conjugacy |
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| Thur, Sep 15 |
Module 4: Intro to Normal-Gamma Conjugacy |
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| Fri, Sep 16 |
Lab 4: Intro to Normal Gamma Conjugacy |
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Week 03 |
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| Tues, Sep 20 |
Module 5: Intro to Monte Carlo |
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| Thur, Sep 22 |
Module 5: Continuation of Monte Carlo Methods |
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| Fri, Sep 23 |
Lab 5: Intro to Monte Carlo (Rejection Sampling) |
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Week 04 |
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| Tues, Sep 27 |
Module 6: Introduction to Metropolis |
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| Thur, Sep 29 |
Module 6: Intro to Metropolis (Continued) |
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| Fri, Sep 30 |
Lab 6: Intro to Monte Carlo |
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Week 05: Exam I |
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| Tues, October 4 |
Review for Exam I |
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| Thur, Oct 6 |
Exam I (In Class) |
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| Fri, Oct 7 |
Lab 6: Intro to Monte Carlo |
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https://github.com/resteorts/modern-bayes/blob/master/lecturesModernBayes20/lecture-7/07-reading.txt
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Week 06: Gibbs Sampling, Part I |
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| Tues Oct 11 (Watch videos on your own) |
Module 7: Gibbs Sampling, Part I |
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| Thurs, Oct. 13 |
Module 7: Gibbs Sampling, Part I (Continued) |
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| Fri, Oct 14 |
Lab 7: Intro to Gibbs Sampling |
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Week 07: Gibbs Sampling (Parts II and III) |
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| Tues, Oct. 18 |
Module 7: Gibbs Sampling, Part II |
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| Thurs, Oct. 20 |
Module 7: Gibbs Sampling, Part III |
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| Fri, Oct. 21 |
Lab: Review of Practice Problems and Current Material |
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Week 08: Module 7: Gibbs Sampling, Part IV and Module 8: Multivariate Normal Distribution |
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| Tues, Oct. 25 |
Module 7: Gibbs Sampling, Part IV |
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| Thurs, Oct. 27 |
Module 8: The Multivariate Normal Distribution |
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| Fri, Oct. 28 |
Lab 8: Gibbs Sampling, Mixture Models, and Data Augmentation |
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Week 09: Multivariate Normal Distribution and Missing Data |
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| Tuesday, Nov. 1 |
Module 8: The Multivariate Normal Distribution (Continued) |
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| Thursday, Nov 3 |
Module 8: The Multivariate Normal Distribution and Missing Data |
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| Fri, Nov 4 |
Lab 9: Homework Exercises (that correspond to homework 7) |
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Week 10: Exam II |
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| Tues., Nov. 8 |
Review Session for Exam II |
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| Thurs., Nov. 10 |
Exam II |
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| Fri, Nov. 11 |
Lab 9: Homework Exercises (that correspond to homework 7) |
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Week 11: Multivariate Gaussian, MLE, and Regression |
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| Tues., Nov. 15 |
Multivariate Missing Data |
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| Thur., Nov. 17 |
Linear Regression |
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| Fri, Nov. 18 |
Lab 10: Linear Regression |
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Week 12: Regression Continued |
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| Tues., Nov. 22 |
Module 9: Linear Regression (Continued) |
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| Tues., Nov. 18 |
Logistic Regression |
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| Fri, Nov. 19 |
Preparing for the Final Exam |
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