Complex Data Modeling and Computationally Intensive Statistical Methods

von Pietro Mantovan, Piercesare Secchi

176 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

Space-time texture analysis in thermal infrared imaging for classification of Raynaud's Phenomenon.- Mixed-effects modelling of Kevlar fibre failure times through Bayesian non-parametrics.- Space filling and locally optimal designs for Gaussian Universal Kriging.- Exploitation, integration and statistical analysis of the Public Health Database and STEMI Archive in the Lombardia region.- Bootstrap algorithms for variance estimation in ?PS sampling.- Fast Bayesian functional data analysis of basal body temperature.- A parametric Markov chain to model age- and state-dependent wear processes.- Case studies in Bayesian computation using INLA.- A graphical models approach for comparing gene sets.- Predictive densities and prediction limits based on predictive likelihoods.- Computer-intensive conditional inference.- Monte Carlo simulation methods for reliability estimation and failure prognostics.

• Reihe: Contributions to Statistics
• Themen: Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI) Wissensbasierte Systeme, Expertensysteme
• ISBN: 9788847058064
• Sprache: Englisch
• Erscheinungsdatum: 23.08.2016
• Größe: 235 x 155 mm
• Verlag: Springer