Bayesian Regression Modeling with INLA (Chapman & Hall/CRC Computer Science & Data Analysis) - Tapa blanda

Wang, Xiaofeng

 
9780367572266: Bayesian Regression Modeling with INLA (Chapman & Hall/CRC Computer Science & Data Analysis)
Tapa blanda
ISBN 10: 0367572265 ISBN 13: 9780367572266
Editorial: Routledge, 2020

Sinopsis

This book addresses the applications of extensively used regression models under a Bayesian framework. It emphasizes efficient Bayesian inference through integrated nested Laplace approximations (INLA) and real data analysis using R. The INLA method directly computes very accurate approximations to the posterior marginal distributions and is a p

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Acerca del autor

Xiaofeng Wang is Professor of Medicine and Biostatistics at the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University and a Full Staff in the Department of Quantitative Health Sciences at Cleveland Clinic.

Yu Ryan Yue is Associate Professor of Statistics in the Paul H. Chook Department of Information Systems and Statistics at Baruch College, The City University of New York.

Julian J. Faraway is Professor of Statistics in the Department of Mathematical Sciences at the University of Bath.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Routledge
Año de publicación
2020
Idioma
Inglés
ISBN 10 
0367572265
ISBN 13 
9780367572266
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
324
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9781498727259: Bayesian Regression Modeling with INLA (Chapman & Hall/CRC Computer Science & Data Analysis)

Edición Destacada

ISBN 10:  1498727255 ISBN 13:  9781498727259
Editorial: Chapman and Hall/CRC, 2018
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