Model Choice in Nonnested Families
Business & Finance, Economics, Statistics, Nonfiction, Science & Nature, Mathematics
| Author: | Carlos Alberto de Bragança Pereira, Basilio de Bragança Pereira | ISBN: | 9783662537367 |
| Publisher: | Springer Berlin Heidelberg | Publication: | December 30, 2016 |
| Imprint: | Springer | Language: | English |
| Author: | Carlos Alberto de Bragança Pereira, Basilio de Bragança Pereira |
| ISBN: | 9783662537367 |
| Publisher: | Springer Berlin Heidelberg |
| Publication: | December 30, 2016 |
| Imprint: | Springer |
| Language: | English |
This book discusses the problem of model choice when the statistical models are separate, also called nonnested. Chapter 1 provides an introduction, motivating examples and a general overview of the problem. Chapter 2 presents the classical or frequentist approach to the problem as well as several alternative procedures and their properties. Chapter 3 explores the Bayesian approach, the limitations of the classical Bayes factors and the proposed alternative Bayes factors to overcome these limitations. It also discusses a significance Bayesian procedure. Lastly, Chapter 4 examines the pure likelihood approach. Various real-data examples and computer simulations are provided throughout the text.
This book discusses the problem of model choice when the statistical models are separate, also called nonnested. Chapter 1 provides an introduction, motivating examples and a general overview of the problem. Chapter 2 presents the classical or frequentist approach to the problem as well as several alternative procedures and their properties. Chapter 3 explores the Bayesian approach, the limitations of the classical Bayes factors and the proposed alternative Bayes factors to overcome these limitations. It also discusses a significance Bayesian procedure. Lastly, Chapter 4 examines the pure likelihood approach. Various real-data examples and computer simulations are provided throughout the text.
