Readings: Inference (First half semester)

• Reading 1: Probability and Random Variables
• Reading 2: Summary Statistics
• Reading 3: Classical Inference I: Maximum Likelihood Estimation
• Reading 4: Classical Inference II: Estimating and Comparing Distributions
• Reading 5: Monte Carlo Method and Importance Sampling
• Reading 6: Stochastic Processes
• Reading 7: The Ising Model
• Reading 8: MCMC Algorithms and Considerations
• Reading 9: Bayesian Analysis
• Reading 10: MCMC Inference