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Bayesian smoothing and regression for longitudinal, spatial and event history data / [electronic resource]

by Fahrmeir, L; Kneib, Thomas.
Material type: materialTypeLabelBookSeries: Oxford statistical science series: no. 36.Publisher: Oxford : Oxford University Press, 2011Description: 1 online resource (xviii, 521 p.) : ill., maps.ISBN: 9780191728501 (ebook) :.Subject(s): Regression analysis | Bayesian statistical decision theory | Smoothing (Statistics)Online resources: Oxford scholarship online Summary: Bringing together recent advances in smoothing and semiparametric regression from a Bayesian perspective, this book demonstrates, with worked examples, the application of these statistical methods to a variety of fields including forestry development economics, medicine and marketing.
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Includes bibliographical references and index.

Bringing together recent advances in smoothing and semiparametric regression from a Bayesian perspective, this book demonstrates, with worked examples, the application of these statistical methods to a variety of fields including forestry development economics, medicine and marketing.

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Last Updated on September 15, 2019
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