Titlebook: Bayesian and Frequentist Regression Methods; Jon Wakefield Textbook 2013 Springer Science+Business Media, LLC, part of Springer Nature 201

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https://doi.org/10.1007/978-3-540-73345-4We begin with two properties of determinants:

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Nonparametric Regression with Multiple PredictorsIn this chapter we describe how the methods described in Chaps. 10 and 11 may be extended to the situation in which there are multiple predictors. We also provide a description of methods for classification, concentrating on approaches that are more model, as opposed to algorithm based.

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Differentiation of Matrix ExpressionsFor univariate . and . :.→. we write the derivative as

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Jon WakefieldProvides a balanced, modern summary of Bayesian and frequentist methods for regression analysis.A book website contains R code to reproduce all of the analyses and figures in the book: http://faculty.

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