MATH-312

Statistical Inference

Maximum likelihood principle, Bayesian estimation, properties of estimators, sufficiency, likelihood ratio tests, chi-square distribution, t distribution, F distribution, power, nonparametrics, bootstrap, and Markov Chain Monte Carlo.
Prerequisites:
Teaching history:
  • 2020 Spring
    -- G. Sokolov.
  • 2018 Spring
    -- G. Sokolov.
  • 2016 Spring
    -- A. Schwab-McCoy.
  • 2014 Spring
    -- G. Malla.