Exponential Families in Theory and Practice Paperback / softback
by Bradley (Stanford University, California) Efron
Part of the Institute of Mathematical Statistics Textbooks series
Paperback / softback
Description
During the past half-century, exponential families have attained a position at the center of parametric statistical inference.
Theoretical advances have been matched, and more than matched, in the world of applications, where logistic regression by itself has become the go-to methodology in medical statistics, computer-based prediction algorithms, and the social sciences.
This book is based on a one-semester graduate course for first year Ph.D. and advanced master's students. After presenting the basic structure of univariate and multivariate exponential families, their application to generalized linear models including logistic and Poisson regression is described in detail, emphasizing geometrical ideas, computational practice, and the analogy with ordinary linear regression.
Connections are made with a variety of current statistical methodologies: missing data, survival analysis and proportional hazards, false discovery rates, bootstrapping, and empirical Bayes analysis.
The book connects exponential family theory with its applications in a way that doesn't require advanced mathematical preparation.
Information
-
Only a few left - usually despatched within 24 hours
- Format:Paperback / softback
- Pages:262 pages, Worked examples or Exercises
- Publisher:Cambridge University Press
- Publication Date:15/12/2022
- Category:
- ISBN:9781108715669
Information
-
Only a few left - usually despatched within 24 hours
- Format:Paperback / softback
- Pages:262 pages, Worked examples or Exercises
- Publisher:Cambridge University Press
- Publication Date:15/12/2022
- Category:
- ISBN:9781108715669
