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Viser: Bayesian Nonparametric Data Analysis
Bayesian Nonparametric Data Analysis
Peter Müller, Fernando Andrés Quintana, Alejandro Jara og Tim Hanson
(2016)
Sprog: Engelsk
Springer International Publishing AG
1.462,00 kr.
Denne bog er endnu ikke udgivet. Den forventes Oct 2016.
Detaljer om varen
- Paperback
- Udgiver: Springer International Publishing AG (Oktober 2016)
- Forfattere: Peter Müller, Fernando Andrés Quintana, Alejandro Jara og Tim Hanson
- ISBN: 9783319368429
This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book's structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones.
The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in online software pages.
Preface.- Acronyms.-
1.Introduction.-
2.Density Estimation - DP Models.-
3.Density Estimation - Models Beyond the DP.-
4.Regression.-
5.Categorical Data.-
6.Survival Analysis.-
7.Hierarchical Models.-
8.Clustering and Feature Allocation.-
9.Other Inference Problems and Conclusions.- Appendix: DP package.
1.Introduction.-
2.Density Estimation - DP Models.-
3.Density Estimation - Models Beyond the DP.-
4.Regression.-
5.Categorical Data.-
6.Survival Analysis.-
7.Hierarchical Models.-
8.Clustering and Feature Allocation.-
9.Other Inference Problems and Conclusions.- Appendix: DP package.
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