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Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History Data

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Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History Data - Fahrmeir, Ludwig, and Kneib, Thomas
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Several recent advances in smoothing and semiparametric regression are presented in this book from a unifying, Bayesian perspective. Simulation-based full Bayesian Markov chain Monte Carlo (MCMC) inference, as well as empirical Bayes procedures closely related to penalized likelihood estimation and mixed models, are considered here. Throughout, the focus is on semiparametric regression and smoothing based on basis expansions of unknown functions and effects in combination with smoothness priors for the basis coefficients. ...

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Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History Data 2011, Oxford University Press, Oxford

ISBN-13: 9780199533022

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