Bayesian Data Science: The What, Why, and How

Avoiding abuse and misuse of T-test and ANOVA: Regression for categorical responses

Do not over-think about ‘outliers’, use a student-t distribution instead

Markov Chain Monte Carlo: Made Simple Once and For All

Bayesian Logistic Regression in Python

Bayesian Inference: A Unified Framework for Perception, Reasoning, and Decision-making

How Reliable Is a Ratio?

Courage to Learn ML: Decoding Likelihood, MLE, and MAP

Bayesian AB Testing with Pyro

PyMC-Marketing: The Key to Advanced CLV(Customer Lifetime Value) Forecasting