© 2013

Complex Models and Computational Methods in Statistics

  • Matteo Grigoletto
  • Francesco Lisi
  • Sonia Petrone
  • The volume offers an updated overview of statistical methods for high-dimensional problems

  • It includes a wide range of statistical applications

  • It is addressed to the statistician working at the forefront of statistical analysis


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

Table of contents

  1. Front Matter
    Pages i-viii
  2. Laura Azzimonti, Francesca Ieva, Anna Maria Paganoni
    Pages 1-11
  3. Stefano Baraldo, Francesca Ieva, Luca Mainardi, Anna Maria Paganoni
    Pages 13-26
  4. Pier Luigi Conti, Livia De Giovanni, Maurizio Naldi
    Pages 91-107
  5. Tommaso Di Fonzo, Marco Marini
    Pages 109-121
  6. Bree Ettinger, Tiziano Passerini, Simona Perotto, Laura M. Sangalli
    Pages 123-135
  7. Giampiero M. Gallo, Edoardo Otranto
    Pages 137-148
  8. Anna Gottard, Elena Stanghellini, Rosa Capobianco
    Pages 149-160
  9. Monica Musio, Erik-A. Sauleau, Valentina Mameli
    Pages 187-201
  10. Davide Risso, Gabriele Sales, Chiara Romualdi, Monica Chiogna
    Pages 215-227

About this book


The use of computational methods in statistics to face complex problems and highly dimensional data, as well as the widespread availability of computer technology, is no news. The range of applications, instead, is unprecedented.

As often occurs, new and complex data types require new strategies, demanding for the development of novel statistical methods and suggesting stimulating mathematical problems.

This book is addressed to researchers working at the forefront of the statistical analysis of complex systems and using computationally intensive statistical methods.


Bayesian inference complex problems computational methods high-dimensional data likelihood-based inference

Editors and affiliations

  • Matteo Grigoletto
    • 1
  • Francesco Lisi
    • 2
  • Sonia Petrone
    • 3
  1. 1., Statistical SciencesUniversity of Padua, Padua, ItalyPadovaItaly
  2. 2., Statistical SciencesUniversity of Padua, Padua, ItalyPadovaItaly
  3. 3., Dept of Decision SciencesBocconi UniversityMilanoItaly

Bibliographic information

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“Complex Models and Computational Methods in Statistics has a good collection of research papers on useful and interesting topics about complex and high-dimensional data. Researchers and professionals looking to learn more in this field of study could benefit from papers published in this volume. The content in most of these selected papers proved to be an enjoyable read.” (Technometrics, Vol. 56 (3), August, 2014)