Gaussian process regression analysis for functional data - Shi, Jian Qing.; Choi, Taeryon (Boca Raton : Taylor & Francis, 2011)
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.
"A Chapman & Hall book."
Includes bibliographical references (p. 175-191) and index.
Also available in print edition.
Mode of access: World Wide Web.
Keywords: Regression analysis; Functional analysis; Gaussian processes; Electronic books