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Viac informácií o knihe Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History Data

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

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Anotácia knihy

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. Beginning with a review of basic methods for smoothing and mixed models, longitudinal data, spatial data and event history data are treated in separate chapters. Worked examples from various fields such as forestry, development economics, medicine and marketing are used to illustrate the statistical methods covered in this book. Most of these examples have been analysed using implementations in the Bayesian software, BayesX, and some with R Codes. These, as well as some of the data sets, are made publicly available on the website accompanying this book.

Parametre knihy

Zaradenie knihy Knihy po anglicky Society & social sciences Sociology & anthropology Sociology

• Celý názov: Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History Data
• Autor: Ludwig Fahrmeir
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 544
• EAN: 9780199533022
• ISBN: 0199533024
• ID: 01323354
• Nakladateľ: Oxford University Press
• Hmotnosť: 920 g
• Rozmery: 233 × 163 × 34 mm
• Dátum vydania: 14. April 2011

Obľúbené z iného súdka

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