Complex Data Modeling and Computationally Intensive Statistical Methods
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 mo…
Read More ↓Title Statements
- Full title :Complex Data Modeling and Computationally Intensive Statistical Methods.
Summary
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 statistici.
Read More ↓Edition Statements
- Publication Date:2010.
Publication Statements
- Publisher(s):Springer Milan
- Place of Publication:Milano
- Language:eng
- Publication Date:2010.
The Physical Object
- Description:1 online resource (169 pages).
Edition Identifiers
- ISBN:8847013852, 9788847013858
- DOI:10.1007/978-88-470-1386-5
- oclc:ocn990406359
- LC Classification:QA276.4 .C66 2010
- Dewey Decimal:519.50285
Table of Contents
Title Page; Copyright Page; Preface; Table of Contents; List of Contributors; Space-time texture analysis in thermal infraredimaging for classification of Raynaud's Phenomenon; Mixed-effects modelling of Kevlar fibre failure timesthrough Bayesian non-parametrics; Space filling and locally optimal designs for Gaussian Universal Kriging; Exploitation, integration and statistical analysis of thePublic Health Database and STEMI Archive in theLombardia 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 processesCase studies in Bayesian computation using INLA; A graphical models approach for comparing gene sets; A graphical models approach for comparing gene sets; Predictive densities and prediction limits based onpredictive likelihoods; Computer-intensive conditional inference; Monte Carlo simulation methods for reliability estimation and failure prognostics.
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