STA402L: Bayesian modeling (Spring 2026)

Duke University

Instructor: Omar Melikechi (oem2@duke.edu)

TA: Yihao Gu (yihao.gu@duke.edu)

TA: Sonya Eason (sonya.eason@duke.edu)

Schedule

Important note: This schedule is subject to change. Revisit and refresh this page regularly.

Date Topic Reading Notes New Due
Wed Jan 7 No class
Thu Jan 8 No lab
Fri Jan 9 Course overview Chapter 1 Chapter 1 Homework 1
Wed Jan 14 Probability review Chapter 2 Chapter 2
Thu Jan 15 Lab 1: Intro to R
Fri Jan 16 Probability review Chapter 2 Chapter 2
Wed Jan 21 One-parameter models Chapter 3 Chapter 3 Homework 2 Homework 1
Thu Jan 22 Lab 2: Beta-binomial [Rmd]
Fri Jan 23 One-parameter models Chapter 3 Chapter 3
Wed Jan 28 One-parameter models Chapter 3 Chapter 3
Thu Jan 29 Lab 3: Predictive checks [Rmd]
Fri Jan 30 Monte Carlo Chapter 4 Chapter 4 Homework 3 Homework 2
Wed Feb 4 Monte Carlo Chapter 4 Chapter 4
Thu Feb 5 Lab 4: Monte Carlo
Fri Feb 6 Monte Carlo Chapter 4 Chapter 4
Wed Feb 11 Normal model Chapter 5 Chapter 5
Thu Feb 12 Lab 5: Prior selection [Rmd]
Fri Feb 13 Normal model Chapter 5 Chapter 5 Homework 3
Wed Feb 18 Review
Thu Feb 19 Review
Fri Feb 20 Midterm 1
Wed Feb 25 Go over Midterm 1 Homework 4
Thu Feb 26 No lab
Fri Feb 27 MCMC Chapters 6,10 Chapters 6,10
Wed Mar 4 MCMC Chapters 6,10 Chapters 6,10
Thu Mar 5 Lab 6: Gibbs sampling [Rmd]
Fri Mar 6 MCMC Chapters 6,10 Chapters 6,10 Homework 4
Wed Mar 11 Spring break
Thu Mar 12 Spring break
Fri Mar 13 Spring break
Wed Mar 18 MCMC Chapters 6,10 Chapters 6,10 Homework 5
Thu Mar 19 Lab 6: Gibbs sampling [Rmd]
Fri Mar 20 Multivariate normal Chapter 7 Chapter 7
Wed Mar 25 Multivariate normal Chapter 7 Chapter 7
Thu Mar 26 Lab 7: HMC [Rmd]
Fri Mar 27 Hierarchical models Chapter 8 Homework 5
Wed Apr 1 Hierarchical models Chapter 8
Thu Apr 2 Review
Fri Apr 3 Midterm 2
Wed Apr 8 Linear regression Chapter 9
Thu Apr 9 Lab 11
Fri Apr 10 Linear regression Chapter 9
Wed Apr 15 Linear regression Chapter 9
Thu Apr 16 Lab 12
Fri Apr 17 Metropolis-Hastings Chapter 10
Wed Apr 22 Last class