On Bayesian Analyses of Functional Regression, Correlated Functional Data and Non-homogeneous Computer Models

On Bayesian Analyses of Functional Regression, Correlated Functional Data and Non-homogeneous Computer Models

<p>Current frontiers in complex stochastic modeling of high-dimensional processes include major emphases on so-called functional data: problems in which the data are snapshots of curves and surfaces representing fundamentally important scientific quantities. This thesis explores new Bayesian m...

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Bibliographic Details
Main Author: Montagna, Silvia
Other Authors: Tokdar, Surya T.
Published: 2013
Subjects:
Statistics
Bayesian statistics
Computer emulation
Functional data
Latent factor models
Latent modeling
Non-stationary Gaussian process
Online Access:http://hdl.handle.net/10161/8258

Internet

http://hdl.handle.net/10161/8258

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