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Gaussian process regression analysis for functional data [electronic resource] / Jian Qing Shi, Taeryon Choi.

By: Contributor(s): Material type: TextPublication details: Boca Raton : Taylor & Francis, 2011.Description: xix, 196 p. : illISBN:
  • 9781439837740 (ebook : PDF)
Subject(s): Genre/Form: Additional physical formats: No titleOnline resources: Available additional physical forms:
  • Also available in print edition.
Contents:
1. Introduction -- 2. Bayesian nonlinear regression with Gaussian process priors -- 3. Inference and computation for Gaussian process regression (GPR) model -- 4. Covariance function and model selection -- 5. Functional regression analysis -- 6. Mixture models and curve clustering -- 7. Generalized Gaussian process regression for non-Gaussian functional data -- 8. Some other related models.
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"A Chapman & Hall book."

Includes bibliographical references (p. 175-191) and index.

1. Introduction -- 2. Bayesian nonlinear regression with Gaussian process priors -- 3. Inference and computation for Gaussian process regression (GPR) model -- 4. Covariance function and model selection -- 5. Functional regression analysis -- 6. Mixture models and curve clustering -- 7. Generalized Gaussian process regression for non-Gaussian functional data -- 8. Some other related models.

Also available in print edition.

Mode of access: World Wide Web.

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