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Complex Data Modeling and Computationally Intensive Statistical Methods

  • Pietro Mantovan
  • Piercesare Secchi

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

Table of contents

  1. Front Matter
    Pages I-X
  2. Graziano Aretusi, Lara Fontanella, Luigi Ippoliti, Arcangelo Merla
    Pages 1-12
  3. Raffaele Argiento, Alessandra Guglielmi, Antonio Pievatolo
    Pages 13-26
  4. Alessandro Baldi Antognini, Maroussa Zagoraiou
    Pages 27-39
  5. Pietro Barbieri, Niccolò Grieco, Francesca Ieva, Anna Maria Paganoni, Piercesare Secchi
    Pages 41-55
  6. Alessandro Barbiero, Fulvia Mecatti
    Pages 57-69
  7. Massimiliano Giorgio, Maurizio Guida, Gianpaolo Pulcini
    Pages 85-97
  8. Sara Martino, Håvard Rue
    Pages 99-114
  9. M. Sofia Massa, Monica Chiogna, Chiara Romualdi
    Pages 115-122
  10. G. Alastair Young, Thomas J. DiCiccio
    Pages 137-150

About this book

Introduction

The last years have seen the advent and development of many devices able to record and store an always increasing amount of complex and high dimensional data; 3D images generated by medical scanners or satellite remote sensing, DNA microarrays, real time financial data, system control datasets, ....

The analysis of this data poses new challenging problems and requires the development of novel statistical models and computational methods, fueling many fascinating and fast growing research areas of modern statistics. The book offers a wide variety of statistical methods and is addressed to statisticians working at the forefront of statistical analysis.

Keywords

Likelihood STATISTICA Time series Variance bayesian statistics biodata mining classification classification and prediction of high dimensional data complex data surveys computational methods for statistics data analysis data mining machine learning statistical methods for industry and technology statistics

Editors and affiliations

  • Pietro Mantovan
    • 1
  • Piercesare Secchi
    • 2
  1. 1.Ca’ Foscari University of VeniceVeniceItaly
  2. 2.Politecnico di MilanoMilanItaly

Bibliographic information

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