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Foundations of Statistical Inference

Proceedings of the Shoresh Conference 2000

  • Yoel Haitovsky
  • Yaacov Ritov
  • Hans Rudolf Lerche

Part of the Contributions to Statistics book series (CONTRIB.STAT.)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Identification with Incomplete Observations, Data Mining

    1. Front Matter
      Pages 1-1
    2. Joel L. Horowitz, Charles F. Manski
      Pages 17-29
    3. Jacob Kogan
      Pages 31-42
  3. Bayesian Methods and Modelling

    1. Front Matter
      Pages 57-57
    2. Bruno Bassan, Marco Scarsini, Shmuel Zamir
      Pages 59-68
    3. Seymour Geisser
      Pages 77-87
    4. Athanassios Katsis, Blaza Toman
      Pages 89-97
    5. Roland Preuss, Albrecht Schwab, Hans J Schnittler, Peter Dieterich
      Pages 107-114
  4. Testing, Goodness of Fit and Randomness

    1. Front Matter
      Pages 115-115
    2. Martin Beibel, Hans R. Lerche
      Pages 117-130
    3. Yuri I. Ingster, Irina A. Suslina
      Pages 141-152
  5. Statistics of Stationary Processes

    1. Front Matter
      Pages 179-179
    2. Michael I. Baron, Nira Granott
      Pages 181-193
    3. Márton Ispány, Gyula Pap, Martien C. A. van Zuijlen
      Pages 195-206
    4. David M. Zucker, Judith Rousseau, Anne Philippe, Offer Lieberman
      Pages 217-227
  6. Back Matter
    Pages 229-230

About these proceedings

Introduction

This volume is a compressed survey containing recent results on statistics of stochastic processes and on identification with incomplete observations. It comprises a collection of papers presented at the Shoresh Conference 2000 on the Foundation of Statistical Inference. The papers cover the following areas with high research activity:

- Identification with Incomplete Observations, Data Mining,
- Bayesian Methods and Modelling,
- Testing, Goodness of Fit and Randomness,
- Statistics of Stationary Processes.

Keywords

Bayesian Methods Data Mining Estimator Identification with Incomplete Observation Logistic Regression Statistical Inference Statistical Modelling Statistics of Stationary Processes Time series best fit

Editors and affiliations

  • Yoel Haitovsky
    • 1
  • Yaacov Ritov
    • 1
  • Hans Rudolf Lerche
    • 2
  1. 1.Department of StatisticsHebrew UniversityJerusalemIsrael
  2. 2.Department of Mathematical StochasticsUniversity of FreiburgFreiburgGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-57410-8
  • Copyright Information Physica-Verlag Heidelberg 2003
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-0047-0
  • Online ISBN 978-3-642-57410-8
  • Series Print ISSN 1431-1968
  • Buy this book on publisher's site