Labs: Inference (First half semester)

• Lab 0: Python Recap
• Lab 1: Sampling Random Variables
• Lab 2: Summary Statistics
• Lab 3: Classical Inference I: Maximum Likelihood Estimation
• Lab 4: Classical Inference II: Estimating and Comparing Distributions
• Lab 5: Importance Sampling
• Lab 6: Random walk and Brownian motion
• Lab 7: Ising Model
• Lab 8: MCMC Algorithms and Considerations
• Lab 9: Bayesian Analysis
• Lab 10: MCMC Inference