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Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History urban planning and it is not until

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and it is not until the class goes on an excursion that Lisa realises that she won't always feel like 'Lisa Leftover'

Author(s): David Taylor

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Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History urban planning and it is not untilSeveral 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

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