everything.study
PSYCH 730

Quantitative Methods

Graduate

Winter 2026 · T01

Topics

  • Part 1: Basic Bayes
  • Basic Bayes: coins, apples, and other interesting items (Ch. 1)
  • Basic Bayes: medicine and genetics (Ch. 1)
  • Basic Bayes: critical thinking (Ch. 1)
  • Parameter estimation: binomial, Poisson, and Gaussian (Ch. 2)
  • Curve fitting: logistic, Poisson, and linear regression (Ch. 3)
  • Part 2: Advanced Bayes
  • Robust estimation (Ch. 4)
  • Hierarchical Models (Ch. 5)
  • Advanced Parameter Estimation Toolkit (Chs. 6, 8, 9)
  • Model comparison (Ch. 10)
  • Bayesian brain I (Ch. 12)
  • Bayesian decision theory (Ch. 15)
  • Course Review Session

Readings

  • Introduction to Bayesian Inference
    Goldreich, D · 2024 · Required
Sources