Statistical Modeling and Analysis for Complex Data Problems

  • Pierre Duchesne
  • Bruno RÉMillard

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Belkacem Abdous, Christian Genest, Bruno Rémillard
    Pages 1-15
  3. David Andrews, Andrey Feuerverger
    Pages 17-40
  4. Yoshua Bengio, Yves Grandvalet
    Pages 75-95
  5. Alain Berlinet, Laurent Rouvière
    Pages 97-119
  6. Imad Bou-Hamad, Pierre Duchesne
    Pages 121-140
  7. Pascal Croteau, Robert Cléroux, Christian Léger
    Pages 141-159
  8. Donald A. Dawson, Pierre Del Moral
    Pages 179-208
  9. Christian Francq, Jean-Michel Zakoïan
    Pages 241-265
  10. Ivan Gentil, Bruno Rémillard, Pierre Del Moral
    Pages 267-280

About this book


STATISTICAL MODELING AND ANALYSIS FOR COMPLEX DATA PROBLEMS treats some of today’s more complex problems and it reflects some of the important research directions in the field. Twenty-nine authors—largely from Montreal’s GERAD Multi-University Research Center and who work in areas of theoretical statistics, applied statistics, probability theory, and stochastic processes—present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains. Some of the areas and topics examined in the volume are: an analysis of complex survey data, the 2000 American presidential election in Florida, data mining, estimation of uncertainty for machine learning algorithms, interacting stochastic processes, dependent data & copulas, Bayesian analysis of hazard rates, re-sampling methods in a periodic replacement problem, statistical testing in genetics and for dependent data, statistical analysis of time series analysis, theoretical and applied stochastic processes, and an efficient non linear filtering algorithm for the position detection of multiple targets.

The book examines the methods and problems from a modeling perspective and surveys the state of current research on each topic and provides direction for further research exploration of the area.


Analysis Estimator Probability theory Stochastic Processes Time series modeling statistics

Editors and affiliations

  • Pierre Duchesne
    • 1
  • Bruno RÉMillard
    • 2
  1. 1.Université de Montréal and GERADMontréal
  2. 2.HEC Montréal and GERADMontréal

Bibliographic information