Essays on Causal Inference
A series of accessible explanations of causal effects, confounding, and randomization.
Technical
Under null hypothesis, p-values are uniformly distributed
A simulation-based look at why p-values are uniformly distributed under the null hypothesis.
Practical significance is the North Star
Why practical significance should guide the interpretation of statistical results.
A layman's explanation of Law of Large numbers
An intuitive explanation of the law of large numbers using coin flips and everyday examples.
Who and when should one use Multi-Armed Bandits? A scenario.
A humorous scenario illustrates when multi-armed bandits can help with experimentation.
Thompson Sampling Algorithm for Normal outcome distribution
An exploration of Thompson sampling for normally distributed outcomes with unknown mean and variance.
Learning Resources
A collection of learning resources for data science, statistics, and causal inference.