Statistics and Experiments Section 015

Resampling, Likelihood and Bayes

Answering statistical questions by simulation and by belief updating, when the formula does not exist or you do not trust it.

8 of 8 lessons published Three reading levels on every lesson

Start with “The bootstrap”

Lessons in order

Work top to bottom. Each lesson assumes the one above it.

  1. The bootstrap
  2. Permutation tests
  3. Monte Carlo simulation
  4. Maximum likelihood estimation
  5. Bayesian vs frequentist thinking
  6. Priors, posteriors and conjugate updating
  7. MCMC from scratch
  8. Kernel density estimation