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


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.


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
  • 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
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