Semester: Spring 2020
Classroom: ECCR 155
Time: Tue/Thu 5:00-6:15pm
Instructor: Dr. Vanja Dukic
Instructor office Hours: Tue/Thu 2:30-3:20pm, ECOT322
Teaching Assistant: Peter Shaffery
TA office Hours: ECCR 244:
Tuesdays 1-3pm
Thursdays 1:30-2:30pm
Department of Applied Mathematics
University of Colorado-Boulder
Week | Topic | Reading Assignments | Notes |
Jan 13 | Review: frequentist statistics and Likelihood | Notes and Chapter 1 (Core/Essentials) | R code from lecture 2 |
Jan 20 | Bayesian foundations | Chapter 1 (Choice) | |
Jan 27 | Decision theoretic foundations | Chapter 2 (Choice) | |
Feb 3 | Introduction to Bayesian Modeling | Chapter 2.1 and 2.2 (Core/Essentials) and Chapter 3 (Choice) |
Genetic Linkage
|
Feb 10 | Introduction to Bayesian Modeling | Chapter 2.1 and 2.2 (Core/Essentials) and Chapter 3 (Choice) | Faulty Startup Example |
Feb 17 | Introduction to Bayesian Modeling | Chapter 2.1 and 2.2 (Core/Essentials) and Chapter 3 (Choice) | HW 1 due via Canvas Tue before class
|
Feb 24 | Intro to Monte Carlo | Chapters 2 and 3 (MCMC) | Faulty Startup Example with Monte Carlo |
Mar 2 | Bayesian Computing: MCMC | Chapter 6 (MCMC) and Chapter 6 (Choice) | |
Mar 9 | Bayesian Computing: MH | Chapter 6 (MCMC) | |
Mar 16 | Introduction to hierarchical modeling | R tutorial on LME4 |
Rats: Linear Mixed Models HW 2 due via Canvas on Tue, Mar 31, 5pm
|
Mar 23 | Spring Break | ------------- | ------------- |
Mar 30 | Bayesian Computing: Gibbs | Chapter 7 (MCMC) | |
Apr 6 | Bayesian Computing: Diagnostics | Chapter 8 (MCMC) | |
Apr 13 | Additional topics: STAN |
Intro to RStan
|
HW 3 due via Canvas on Tue, Apr 14, before class
|
Apr 20 | Additional topics: Sequential Bayesian Methods |
Uncertainty propagation code
|
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Apr 27 | Final project in-class presentations | Final project slides due via Canvas by 5pm on Tue (4/28) | Final project reports due via Canvas by midnight (11:59pm) on Thu (4/30) |