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CRC Press Gaussian Process Regression Analysis for Functional Data

Name: Gaussian Process Regression Analysis for Functional Data
Brand: CRC Press

Illustrated

Biological Sciences

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Gaussian Process Regression Analysis for Functional Data presents nonparametric statistical methods for functional regression analysis, specifically the methods based on a Gaussian process prior in a functional space. The authors focus on problems involving functional response variables and mixed covariates of functional and scalar variables. Covering the basics of Gaussian process regression, the first several chapters discuss functional data analysis, theoretical aspects based on the asymptotic properties of Gaussian process regression models, and new methodological developments for high dimensional data and variable selection. The remainder of the text explores advanced topics of functional regression analysis, including novel nonparametric statistical methods for curve prediction, curve clustering, functional ANOVA, and functional regression analysis of batch data, repeated curves, and non-Gaussian data. Many flexible models based on Gaussian processes provide efficient ways of model learning, interpreting model structure, and carrying out inference, particularly when dealing with large dimensional functional data. This book shows how to use these Gaussian process regression models in the analysis of functional data. Some MATLAB® and C codes are available on the first author’s website.

Product Specifications

Brand: CRC Press
Model: Illustrated
Format: hardcover
ASIN: 1439837732
Category: Books > Subjects > Science, Nature & Maths > Biological Sciences
Domain: Amazon UK
Release Date: 05 July 2011
Listed Since: 21 December 2009

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CRC Press Gaussian Process Regression Analysis for Functional Data

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