Exponential Families in Theory and Practice

ISBN-13: 9781108715669 / Angielski / Miękka / 2022 / 200 str.

California) Efron Bradley (Stanford University

Opis

This accessible course on a central player in modern statistical practice connects models with methodology, without need for advanced math.

Recenzje

'In this book, Brad Efron illuminates the exponential family as a practical, extendible, and crucial ingredient in all manners of data analysis, be they Bayesian, frequentist, or machine learning. He shows us how to shape, understand, and employ these distributions in both algorithms and analysis. The book is crisp, insightful, and indispensable.' David Blei, Columbia University

Spis treści

1. One-parameter exponential families; 2. Multiparameter exponential families; 3. Generalized linear models; 4. Curved exponential families, eb, missing data, and the em algorithm; 5. Bootstrap confidence intervals; Bibliography; Index.