Bayesian Statistics and Computing

Course Introduction and Numerical Basics
- L0: Course introduction
- L1: Numerical basics
Deterministic Methods
- L2: Numerical linear algebra in Statistics
- L3: Root-finding algorithms
- L4: Optimization algorithms
- L5: Numerical integral
Simulation
- L6: Random number generation
- L7: Monte Carlo methods
Computation in Statistical Modeling
- L8: Computation in linear and generalized linear models
- L9: Regularization
Bayesian Computing
- L10: Bayesian thinking
- L11: Introduction to Bayesian computing
- L12: Markov Chain Monte Carlo
- L13: Bayesian regression and prediction