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Notebook
An Idiosyncratic Sample of Applied Statistics
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Mathematical Foundations
Inequalities and Identities
Linear Algebra Primer
Probability Foundations
Sets, Combinatorics, and Probability
Theories of Probability
Probability, Random Vectors, and the Multivariate Normal Distribution
Hypothesis tests, stratified tests
Combining tests
Multiple testing
E-values and betting scores
Confidence sets
Inference when there are nuisance parameters
Causal inference
Fisher's exact test
Models, response schedules, and estimators
Pseudo-random numbers, integers, samples, and permutations
Introduction to election auditing and the Kaplan-Markov Inequality
Confidence bounds for the mean of finite populations
The Normal approximation and bootstrap percentile intervals
Duality between testing and confidence sets
Confidence sets derived from the Binomial
Lower confidence bounds for the mean via Markov's Inequality and methods based on the Empirical Distribution
Confidence bounds via the Chebychev and Hoeffding Inequalities
Wald's Sequential Probability Ratio Test (SPRT)
The SPRT for sampling without replacement
The SPRT with nuisance parameters
The Kaplan-Wald confidence bound
Dollar-Unit Sampling and taint
Penny sampling
Method shootout
Tests based on martingales and supermartingales
Tests based on betting martingales: choosing the bet
Introduction to permutation tests; application to gender bias in teaching evaluations
Classical permutation tests based on ranks
Tests of randomness and independence
Simulating randomization for permutation tests
Simulated $P$-values are exact $P$-values for randomized tests
Abstract permutation tests using projections
Statistical inference
Bayesian and Frequentist Estimation and Inference
Resampling methods
Goodness of Fit Tests
Models of Pandemics
Election Audits
The Child Online Protection Act and Internet Content Filtering: nonparametric confidence intervals for porn
Where's the beef? Transmissible Spongiform Encephalopathy and U.S. imports of Canadian cattle
The EM algorithm
(incomplete)
P-values, Probability, Priors, Rabbits, Quantifauxcation, and Cargo-Cult Statistics
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