【书名】 Multivariate Bayesian Statistics
【作者】Daniel B. Rowe

【出版社】CHAPMAN & HALL/CRC

【版本】1
【出版日期】2003
【文件格式】djv
【文件大小】1.52Mb
【页数】232 including cover
【ISBN出版号】
【资料类别】统计学 textbook
【市面定价】95 USD
【清晰版】
【是否缺页】所有章節都有 但原书無頁碼,僅能推测可能无缺頁
【关键词】multivariate analysis, Baysian theorem.
【内容简介】This book is a thorough exposition of Bayesian modeling techniques. Overall, the book is well written and gives a detailed step-by-step approach to some widely applicable model types. This book helps me understand how to build some complex models using a Bayesian approach with a much better understanding of what effect my decisions will have on the final model results.

【目录】List of Figures

List of Tables

Introduction

I Fundamentals
Statistical Distributions
Introductory Bayesian Statistics
Prior Distributions

Hyperparameter Assessment

Bayesian Estimation Methods

Regression

II Models

Bayesian Regression

Bayesian Factor Analysis

Bayesian Source Separation

Unobservable and Observable Source Separation

FMRI Case Study
III Generalizations

Correlated Observation and Source Vectors

Conclusion

Appendix A FMRI Activation Determination 
Appendix B FMRI Hyperparameter Assessment

Bibliography

【书名】 Multivariate Bayesian Statistics
【作者】Daniel B. Rowe

【出版社】CHAPMAN & HALL/CRC

【版本】1
【出版日期】2003
【文件格式】djv
【文件大小】1.52Mb
【页数】232 including cover
【ISBN出版号】
【资料类别】统计学 textbook
【市面定价】95 USD
【清晰版】
【是否缺页】所有章節都有 但原书無頁碼,僅能推测可能无缺頁
【关键词】multivariate analysis, Baysian theorem.
【内容简介】This book is a thorough exposition of Bayesian modeling techniques. Overall, the book is well written and gives a detailed step-by-step approach to some widely applicable model types. This book helps me understand how to build some complex models using a Bayesian approach with a much better understanding of what effect my decisions will have on the final model results.

【目录】List of Figures

List of Tables

Introduction

I Fundamentals
Statistical Distributions
Introductory Bayesian Statistics
Prior Distributions

Hyperparameter Assessment

Bayesian Estimation Methods

Regression

II Models

Bayesian Regression

Bayesian Factor Analysis

Bayesian Source Separation

Unobservable and Observable Source Separation

FMRI Case Study
III Generalizations

Correlated Observation and Source Vectors

Conclusion

Appendix A FMRI Activation Determination 
Appendix B FMRI Hyperparameter Assessment

Bibliography

so expensive but a good book! Can you send it to me as follows:

luwanbo@163.com?