Complex data modeling and computationally intensive statistical methods

✍ Scribed by Graziano Aretusi, Lara Fontanella (auth.), Pietro Mantovan, Piercesare Secchi (eds.)

• Publisher: Springer-Verlag Mailand
• Year: 2010
• Tongue: English
• Leaves: 176
• Series: Contributions to Statistics
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages I-X
Space-time texture analysis in thermal infrared imaging for classification of Raynaud’s Phenomenon....Pages 1-12
Mixed-effects modelling of Kevlar fibre failure times through Bayesian non-parametrics....Pages 13-26
Space filling and locally optimal designs for Gaussian Universal Kriging....Pages 27-39
Exploitation, integration and statistical analysis of the Public Health Database and STEMI Archive in the Lombardia region....Pages 41-55
Bootstrap algorithms for variance estimation in πPS sampling....Pages 57-69
Fast Bayesian functional data analysis of basal body temperature....Pages 71-83
A parametric Markov chain to model age- and state-dependent wear processes....Pages 85-97
Case studies in Bayesian computation using INLA....Pages 99-114
A graphical models approach for comparing gene sets....Pages 115-122
Predictive densities and prediction limits based on predictive likelihoods....Pages 123-136
Computer-intensive conditional inference....Pages 137-150
Monte Carlo simulation methods for reliability estimation and failure prognostics....Pages 151-164

✦ Subjects

Statistics and Computing/Statistics Programs; Statistical Theory and Methods; Data Mining and Knowledge Discovery