ISBN-10:
0199533024
ISBN-13:
9780199533022
Pub. Date:
06/24/2011
Publisher:
Oxford University Press, USA
Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History Data / Edition 1

Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History Data / Edition 1

by Ludwig Fahrmeir, Thomas Kneib

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Product Details

ISBN-13: 9780199533022
Publisher: Oxford University Press, USA
Publication date: 06/24/2011
Series: Oxford Statistical Science , #36
Edition description: New Edition
Pages: 512
Product dimensions: 6.10(w) x 9.30(h) x 1.40(d)

About the Author

Ludwig Fahrmeir is Professor Emeritus, Department of Statistics, Ludwig-Maximilians-University Munich. He has been Professor of Statistics at the University of Regensburg, Chairman of the Collaborative Research Centre "Statistical Analysis of Discrete Structures with Applications in Econometrics and Biometrics" and was coordinator of the project "Analysis and Modelling of Complex Systems in Biology and Medicine" at the University of Munich. He is an Elected Fellow of the International Statistical Institute.
Thomas Kneib received a PhD in Statistics in 2006 from the University of Munich. He has been visiting Professor for Applied Statistics at the University of Ulm and Professor for Statistics at the University of Gottingen. Currently, he is Professor for Applied Statistics at the University of Oldenburg.

Table of Contents

1. Introduction: Scope of the Book and Applications
2. Basic Concepts for Smoothing and Semiparametric Regression
3. Generalised Linear Mixed Models
4. Semiparametric Mixed Models for Longitudinal Data
5. Spatial Smothing, Interactions and Geoadditive Regression
6. Event History Data

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