Diane Hebb

Diane Hebb

Bayesian Regression Modeling with INLA. Xiaofeng Wang, Yu Yue Ryan, Julian J. Faraway

Bayesian Regression Modeling with INLA


Bayesian-Regression.pdf
ISBN: 9781498727259 | 324 pages | 9 Mb

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  • Bayesian Regression Modeling with INLA
  • Xiaofeng Wang, Yu Yue Ryan, Julian J. Faraway
  • Page: 324
  • Format: pdf, ePub, fb2, mobi
  • ISBN: 9781498727259
  • Publisher: Taylor & Francis
Download Bayesian Regression Modeling with INLA


Ebooks download deutsch Bayesian Regression Modeling with INLA 9781498727259 by Xiaofeng Wang, Yu Yue Ryan, Julian J. Faraway

Overview

Bayesian Regression Modeling with INLA by Xiaofeng Wang, Yu Yue Ryan, Julian J. Faraway This book addresses the applications of extensively used regression models under a Bayesian framework. It emphasizes efficient Bayesian inference through integrated nested Laplace approximations (INLA) and real data analysis using R. The INLA method directly computes very accurate approximations to the posterior marginal distributions and is a promising alternative to Markov chain Monte Carlo (MCMC) algorithms, which come with a range of issues that impede practical use of Bayesian models.



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