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© 2010

Statistical Modelling and Regression Structures

Festschrift in Honour of Ludwig Fahrmeir

  • Thomas Kneib
  • Gerhard Tutz
Book

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Leonhard Held, Birgit Schrödle, Håvard Rue
    Pages 91-110
  3. Sylvia Frühwirth-Schnatter, Rudolf Frühwirth
    Pages 111-132
  4. Thomas Kneib, Andreas Brezger, Ciprian M. Crainiceanu
    Pages 133-154
  5. Nikolay Robinzonov, Torsten Hothorn
    Pages 181-196
  6. Gerhard Tutz, Andreas Groll
    Pages 197-215
  7. Carolin Strobl, Friedrich Leisch, Christian Dittrich, Christian Seiler, Sandra Hackensperger
    Pages 217-230
  8. Iris Pigeot, Stephan Klasen, Ronja Foraita
    Pages 231-247
  9. Ulrich Mansmann, Markus Schmidberger, Ralf Strobl, Vindi Jurinovic
    Pages 249-265
  10. Alfred Hamerle, Kilian Plank
    Pages 321-336
  11. Konstantinos Fokianos
    Pages 337-352

About this book

Introduction

The contributions collected in this book have been written by well-known statisticians to acknowledge Ludwig Fahrmeir's far-reaching impact on Statistics as a science, while celebrating his 65th birthday. The contributions cover broad areas of contemporary statistical model building, including semiparametric and geoadditive regression, Bayesian inference in complex regression models, time series modelling, statistical regularization, graphical models and stochastic volatility models.

Keywords

Bayesian Statistics Estimator Logistic Regression Regression Models Semiparametric Regression Statistical Modelling Time series expectation–maximization algorithm linear regression statistical model

Editors and affiliations

  • Thomas Kneib
    • 1
  • Gerhard Tutz
    • 2
  1. 1.Fak. V - Mathematik undUniversität OldenburgOldenburgGermany
  2. 2.Institut für StatistikUniversität MünchenMünchenGermany

Bibliographic information

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Reviews

From the reviews:

“The festschrift is a collection of 24 contributions stemming from a wide area of statistical models ranging from semiparametric and geoadditive regression to Bayesian inference, time series modeling, statistical regularization, and others. The topics are of current interest. … The format of the volume is uniform and nicely presented … . will be a useful resource for graduate students, researchers, and practitioners with an interest in these topics. I think the festschrift deserves a broad readership.” (Technometrics, Vol. 52 (3), August, 2010)