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Statistical Modelling and Regression Structures

Festschrift in Honour of Ludwig Fahrmeir

  • Book
  • © 2010

Overview

Editors:
  1. Thomas Kneib

    1. Fak. V - Mathematik und, Universität Oldenburg, Oldenburg, Germany

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  2. Gerhard Tutz

    1. Institut für Statistik, Universität München, München, Germany

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    You can also search for this editor in PubMed   Google Scholar

  • State of the art of statistical modelling
  • Includes supplementary material: sn.pub/extras

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Table of contents (24 chapters)

  1. Front Matter

    Pages i-xxi
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  2. The Smooth Complex Logarithm and Quasi-Periodic Models

    • H. C. Eilers
    Pages 1-17

  3. P-spline Varying Coefficient Models for Complex Data

    • Brian D. Marx
    Pages 19-43

  4. Penalized Splines, Mixed Models and Bayesian Ideas

    • Göran Kauermann
    Pages 45-58

  5. Bayesian Linear Regression — Different Conjugate Models and Their (In)Sensitivity to Prior-Data Conflict

    • Gero Walter, Thomas Augustin
    Pages 59-78

  6. An Efficient Model Averaging Procedure for Logistic Regression Models Using a Bayesian Estimator with Laplace Prior

    • Christian Heumann, Moritz Grenke
    Pages 79-90

  7. Posterior and Cross-validatory Predictive Checks: A Comparison of MCMC and INLA

    • Leonhard Held, Birgit Schrödle, Håvard Rue
    Pages 91-110

  8. Data Augmentation and MCMC for Binary and Multinomial Logit Models

    • Sylvia Frühwirth-Schnatter, Rudolf Frühwirth
    Pages 111-132

  9. Generalized Semiparametric Regression with Covariates Measured with Error

    • Thomas Kneib, Andreas Brezger, Ciprian M. Crainiceanu
    Pages 133-154

  10. Determinants of the Socioeconomic and Spatial Pattern of Undernutrition by Sex in India: A Geoadditive Semi-parametric Regression Approach

    • Christiane Belitz, Judith Hübner, Stephan Klasen, Stefan Lang
    Pages 155-179

  11. Boosting for Estimating Spatially Structured Additive Models

    • Nikolay Robinzonov, Torsten Hothorn
    Pages 181-196

  12. Generalized Linear Mixed Models Based on Boosting

    • Gerhard Tutz, Andreas Groll
    Pages 197-215

  13. Measurement and Predictors of a Negative Attitude towards Statistics among LMU Students

    • Carolin Strobl, Friedrich Leisch, Christian Dittrich, Christian Seiler, Sandra Hackensperger
    Pages 217-230

  14. Graphical Chain Models and their Application

    • Iris Pigeot, Stephan Klasen, Ronja Foraita
    Pages 231-247

  15. Indirect Comparison of Interaction Graphs

    • Ulrich Mansmann, Markus Schmidberger, Ralf Strobl, Vindi Jurinovic
    Pages 249-265

  16. Modelling, Estimation and Visualization of Multivariate Dependence for High-frequency Data

    • Erik Brodin, Claudia Klüppelberg
    Pages 267-300

  17. Ordinal- and Continuous-Response Stochastic Volatility Models for Price Changes: An Empirical Comparison

    • Claudia Czado, Gernot Müller, Thi-Ngoc-Giau Nguyen
    Pages 301-320

  18. Copula Choice with Factor Credit Portfolio Models

    • Alfred Hamerle, Kilian Plank
    Pages 321-336

  19. Penalized Estimation for Integer Autoregressive Models

    • Konstantinos Fokianos
    Pages 337-352

  20. Bayesian Inference for a Periodic Stochastic Volatility Model of Intraday Electricity Prices

    • Michael Stanley Smith
    Pages 353-376
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Keywords

About this book

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.

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)

Editors and Affiliations

  • Fak. V - Mathematik und, Universität Oldenburg, Oldenburg, Germany

    Thomas Kneib

  • Institut für Statistik, Universität München, München, Germany

    Gerhard Tutz

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