Model Averaging. 1st ed. 2018

種類:

電子ブック

責任表示:

by David Fletcher

出版情報:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2018

著者名:

• Fletcher, David.
• SpringerLink (Online service)

シリーズ名:

SpringerBriefs in Statistics ;

ISBN:

9783662585412 [3662585413]    

注記:

Why Model Averaging? -- Bayesian Model Averaging -- Frequentist Model Averaging -- Summary and Future Directions.
This book provides a concise and accessible overview of model averaging, with a focus on applications. Model averaging is a common means of allowing for model uncertainty when analysing data, and has been used in a wide range of application areas, such as ecology, econometrics, meteorology and pharmacology. The book presents an overview of the methods developed in this area, illustrating many of them with examples from the life sciences involving real-world data. It also includes an extensive list of references and suggestions for further research. Further, it clearly demonstrates the links between the methods developed in statistics, econometrics and machine learning, as well as the connection between the Bayesian and frequentist approaches to model averaging. The book appeals to statisticians and scientists interested in what methods are available, how they differ and what is known about their properties. It is assumed that readers are familiar with the basic concepts of statistical theory and modelling, in

ローカル注記:

学内専用E-BOOKS (local access only)