Alexander Strang
- Office Hours: Tues. 1:00 - 2:00 pm, Fri. 2:00 - 3:00 pm. (Evans 305)
- Pronouns: He/Him
- alexstrang@berkeley
.edu
Zhexiao Lin
- Office Hours: W 10-11 am (Evans 334), 3:00 - 4:00 pm (Evans 446).
- Pronouns: He/Him
- zhexiaolin@berkeley
.edu
Welcome to Week 14 of Stat 238!
👋
Schedule¶
| Jan 21 | Lecture 1 | Fundamentals of Bayesian Inference | |
| Reading 1 | Week 1 Reading | ||
| Jan 22 | Assignment | Introductory Poll | |
| Jan 23 | Lecture 2 | Binomial Likelihoods and Beta Priors (I) |
| Jan 28 | Lecture 3 | Binomial Likelihoods and Beta Priors (II) | |
| Reading 2 | Week 2 Reading | ||
| Homework 1 | Homework 1 | ||
| Assignment 1 | Project Mini 1 | ||
| Jan 29 | Lab 1 | Binomial Likelihoods and Beta Priors | |
| Exercise 1 | Quiz 1 Practice | ||
| Jan 30 | Lecture 4 | Consistency, Asymptotics, and Bayesian Estimation |
| Feb 04 | Lecture 5 | Why Bayesian? | |
| Quiz 1 | Quiz 1 - Fundamentals of Bayesian Inference | ||
| Reading 3 | Week 3 Reading | ||
| Feb 05 | Lab 2 | Lab - Bayesian Decision Theory | |
| Feb 06 | Lecture 6 | Why Bayesian? (Decision Theory I) | |
| Exercise 1 | Quiz 2 Practice |
| Feb 11 | Lecture 7 | Why Bayesian? (Decision Theory II) | |
| Reading 4 | Week 4 Reading | ||
| Feb 12 | Lab 3 | Lab - Inferring Parameters of a Multivariate Normal | |
| Feb 13 | Lecture 8 | Conjugate Modeling (I) - Intro to Modeling, Multivariate Normal Models (Unknown Mean) | |
| Quiz 2 | Quiz 2 - Consistency, Asymptotics, and Decisions. | ||
| Homework 2 | Homework 2 | ||
| Assignment 2 | Project Mini 2 |
| Feb 18 | Lecture 9.1, 9.2 | Conjugate Modeling (II) - Normal Normal Intuition, Unknown Scale | |
| Lecture 9.3 | Conjugate Modeling (II) - Exponential Families and Conjugate Priors | ||
| Reading 5 | Week 5 Reading | ||
| Exercise 3 | Quiz 3 Practice | ||
| Feb 19 | Lab 4 | Lab - Kalman Filters, Data Assimilation, and Sequential Inference | |
| Feb 20 | Lecture 10 | Conjugate Models (III) - Working with Exponential Families |
| Feb 25 | Lecture 11 | Nonconjugate Modeling (I) - Intro to Nonconjugate Modeling | |
| Reading 6 | Week 6 Reading | ||
| Assignment 3 | Project Mini 3 | ||
| Assignment 4 | Project Mini 4 | ||
| Quiz 3 | Quiz 3 - Conjugate Models | ||
| Feb 26 | Lab 5 | Lab - Bayesian Optimization and Surrogate Modeling | |
| Feb 27 | Lecture 12 | Nonconjugate Modeling (II) - Weakly Informative Models (Regularization) | |
| Assignment | Midsemester Feedback |
| Mar 04 | Lecture 13 | Nonconjugate Modeling (III) - Hierarchical Models | |
| Reading 7 | Week 7 Reading | ||
| Mar 05 | Lab 6 | Lab - Bayesian Logistic Regression | |
| Exercise 4 | Quiz 4 Practice | ||
| Mar 06 | Lecture 14 | Nonconjugate Modeling (IV) - Empirical Priors and Density Estimation | |
| Assignment 5 | Project Mini 5 | ||
| Assignment 6 | Project Mini 6 |
| Mar 11 | Lecture 15 | Computation (I) - Bayesian Point Estimation (I) | |
| Quiz 4 | Quiz 4 - Non-Conjugate Models | ||
| Reading 8 | Week 8 Reading | ||
| Homework 3 | Homework 3 | ||
| Mar 12 | Lab 7 | Lab - MAP Estimation in Hierarchical Models | |
| Exercise 5 | Quiz 5 Practice | ||
| Mar 13 | Lecture 16 | Computation (II) - Bayesian Point Estimation (II) | |
| Assignment 7 | Project Mini 7 |
| Mar 18 | Lecture 17 | Computation (III) - Bayesian Point Estimation (III) | |
| Quiz 5 | Quiz 5 - Bayesian Point Estimation | ||
| Reading 9 | Week 9 Reading | ||
| Mar 19 | Lab 7 | Lab - Work Session | |
| Mar 20 | Lecture 18 | Computation (IV) - Bayesian Point Estimation (IV) |
| Apr 01 | Lecture 19 | Computation (V) - Sampling (I) | |
| Reading 10 | Week 10 Reading | ||
| Homework 4 | Homework 4 | ||
| Apr 02 | Lab 8 | Lab - Sampling (MCMC) | |
| Exercise 6 | Quiz 6 Practice | ||
| Apr 03 | Lecture 20 | Computation (VI) - Sampling (II) | |
| Assignment 8 | Project Mini 8 | ||
| Assignment 9 | Project Mini 9 |
| Apr 08 | Lecture 21 | Computation (VI) - Sampling (III) | |
| Reading 11 | Week 11 Reading | ||
| Quiz 6 | Quiz 6 - Sampling (I) | ||
| Apr 09 | Lab 8 | Lab - Work Session | |
| Exercise 7 | Quiz 7 Practice | ||
| Apr 10 | Lecture 22 | Computation (VI) - Sampling (IV) |
| Apr 15 | Lecture 23 | Computation (VII) - Distribution Approximation (I) | |
| Reading 12 | Week 12 Reading | ||
| Homework 5 | Homework 5 | ||
| Apr 16 | Lab 9 | Lab - Sampling (HMC, Coverage, and PPC) | |
| Apr 17 | Lecture 24 | Model Checking (I) - Density Estimation and Coverage Checks | |
| Quiz 7 | Quiz 7 - Sampling and Distribution Approximation (II) |
| Apr 22 | Lecture 25 | Model Checking (II) - Posterior Summary and Posterior Predictive Checks | |
| Reading 13 | Week 13 Reading | ||
| Apr 23 | Lab 9 | Lab - Work Session | |
| Apr 24 | Lecture 26 | Model Checking (III) - Prior Misspecification. Sensitivity Analysis |
| Apr 29 | Lecture 27 | Capstone (I) - Ensemble and Rare Event Samplers | |
| Reading 14 | Week 14 Reading | ||
| Quiz 8 | Quiz 8 - Model Checking | ||
| Apr 30 | Lab 9 | Lab - Work Session | |
| Assignment 10 | Project Mini 10 | ||
| May 01 | Lecture 28 | Capstone (II) - Variational Inference |