ADVANCED STATISTICAL MECHANICS (II)
- Probability, Conditional Probability & Bayes
- Ensembles, Partition Functions & Fluctuations
- Correlations, Response & Linear Response
- Entropy & Information Theory
- Monte Carlo Methods
- Markov Chains
- Metropolis & Metropolis-Hastings
- MCMC Diagnostics
- Ising Model
- Phase Transitions & Critical Phenomena
- Finite-Size Scaling & Universality
- Random Matrix Theory
- Statistical Inference & Maximum Likelihood
- Bayesian Inference & Bayesian Mechanics
- Advanced Sampling Methods
- Complex Systems & Emergence