Complex data modeling and computationally intensive statistical methods
By: Pietro Mantovan, Piercesare Secchi (editors)
Series: Contributions to statistics; Contributions to statistics
Publisher: Springer-Verlag Italia
Published: 2010
Place of publication: Milan; New York
Language: eng
Number of pages: 164
ISBN-13: 9788847013858; 9788847013865
Subjects: Mathematical statistics; Congresses; Data processing
Notes: Includes bibliographical references.
Table of contents: title: Space-time texture analysis in thermal infrared imaging for classification of Raynaud's phenomenon  -- Graziano Aretusi, Lara Fontanella, Luigi Ippoliti and Arcangelo Merla; title: Mixed-effects modelling of Kevlar fibre failure times through Bayesian non-parametrics  -- Raffaele Argiento, Alessandra Guglielmi and Antonio Pievatolo; title: Space filling and locally optimal designs for Gaussian Universal Kriging ; title: Exploitation, integration and statistical analysis of the Public Health Database and STEMI Archive in the Lombardia region  -- Pietro Barbieri, Niccolò Grieco, Francesca Ieva, Anna Maria Paganoni and Piercesare Secchi; title: Bootstrap algorithms for variance estimation in [pi]PS sampling  -- Alessandro Barbiero and Fulvia Mecatti; title: Fast Bayesian functional data analysis of basal body temperature  -- James M. Ciera; title: A parametric Markov chain to model age- and state-dependent wear processes  -- Massimiliano Giorgio, Maurizio Guida and Gianpaolo Pulcini; title: Case studies in Bayesian computation using INLA  -- Sara Martino and Håvard Rue; title: M. Sofia Massa, Monica Chiogna and Chiara Romualdi --; title: Predictive densities and prediction limits based on predictive likelihoods  -- Paulo Vidoni; title: Computer-intensive conditional inference  -- G. Alastair Young and Thomas J. DiCiccio; title: Monte Carlo simulation methods for reliability estimation and failure prognostics -- Enrico Zio.