A curated collection of posts providing technical/thematic context for most of the material on this site.

Preliminaries

  • Probability and Uncertainty
  • Conditional Probabilities
  • Relationships between Probability Distributions
  • Maximum Likelihood Estimation
  • Monte Carlo Integration
  • Properties of Markov Chains

Statistical Modeling

  • Bayesian Modeling
  • Developing a Coherent Bayesian Workflow
  • Generative Models
  • How to choose a Prior
  • Strategies for Model Selection

Algorithms for Inference

  • The Basics of Sampling
  • Markov Chain Monte Carlo
  • Expectation Maximization
  • Stochastic Gradient Descent
  • Simulated Annealing
  • Parallel Tempering
  • Variational Autoencoders