Statistical Inference I

Explore fundamental concepts of statistical inference in this 56-minute lecture by Will Fithian from UC Berkeley, part of the Foundations of Data Science Boot Camp at the Simons Institute. Delve into topics such as statistical modeling, estimation techniques, binomial estimators, minimax risk, and the bias-variance tradeoff. Gain insights into Bayesian inference and its applications in data science. Enhance your understanding of statistical theory and its practical implications in this comprehensive overview of Statistical Inference I.

Introduction
What is a Statistical Model
Estimation
Binomial estimators
Minimax risk
Summary
Biasvariance tradeoff
Bayesian inference