Cover Image

Bayesian regression modeling with INLA

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...

Full description

Saved in:

Bibliographic Details
Main Authors:	Wang, Xiaofeng (Author), Yue, Yu (Author), Faraway, Julian James (Author)
Format:	Book
Language:	English
Published:	Boca Raton, FL CRC Press, Taylor & Francis Group 2018
Series:	Chapman & Hall/CRC computer science and data analysis series
Subjects:	Regression analysis. Bayesian statistical decision theory. Laplace transformation.
Tags:	Add Tag No Tags, Be the first to tag this record!
Call Number :	QA 278.2 .W36 2018

Similar Items

Regression Analysis : AN INTUITIVE GUIDE FOR USING AND INTERPRETING LINEAR MODELS /
by: Frost, Jim
Published: (2019)

Linear regression analysis
by: Seber, G. A. F., et al.
Published: (2003)

Modern regression methods
by: Ryan
Published: (1996)

Introduction to linear regression analysis
by: Montgomery, Douglas C., et al.
Published: (2020)

Introduction to Bayesian statistics
by: Bolstad 1943-
Published: (2007)

Regression analysis for categorical moderators
by: Aguinis, Herman
Published: (2004)

Bayesian methods for data analysis
by: Carlin, Bradley P.
Published: (2009)

Regression graphics ideas for studying regressions through graphics
by: Cook
Published: (1998)

Bayesian network technologies applications and graphical models
Published: (2007)

Methods and applications of linear models regression and the analysis of variance
by: Hocking
Published: (1996)

Bayesian methods a social and behavioral sciences approach
by: Gill, Jeff
Published: (2008)

Bayesian signal processing classical, modern and particle filtering methods
by: Candy, J. V.
Published: (2008)

Bayesian networks with examples in R
by: Scutari, Marco, et al.
Published: (2015)

Schaum's outline of theory and problems of laplace transforms
by: Spiegel
Published: (1986)

Schaum's Outlines Laplace Transforms
by: Spiegel
Published: (1992)

Bayesian bounds for parameter estimation and nonlinear filtering [and] tracking
Published: (2007)

Fixed effects regression models
by: Allison, Paul David
Published: (2009)

Schaum's outline of theory and problems of laplace transforms
by: Spiegel
Published: (1965)

Semiparametric regression for the social sciences
by: Keele 1974-
Published: (2008)

APPLIED REGRESSION ANALYSIS /
by: Draper, Norman Richard
Published: (1998)

Missing data in longitudinal studies strategies for Bayesian modeling and sensitivity analysis
by: Daniels, M. J.
Published: (2008)

Fundamentals of regression modeling
Published: (2013)

Regression and linear models
by: Darlington
Published: (1990)

Applied regression analysis and generalized linear models
by: Fox, John 1947-
Published: (2008)

Applied regression analysis for business and econimics
by: Dielman lhTerry E.

Bayesian statistics an introduction
by: Lee
Published: (2004)

Integral transforms and fourier series
by: Srivastava, A.N
Published: (2012)

Multivariate models and dependence concepts
by: Joe
Published: (1997)

Analytical methods in marine hydrodynamics
by: Chatjigeorgiou, Ioannis K.
Published: (2018)

A second course in statistics regression analyisis
by: Mendenhall, William, et al.
Published: (2020)

Linear circuit analysis,volume II a lapace transform approach
by: De Carlo
Published: (1995)

Ranking of multivariate populations a permutation approach with applications
by: Corain, Livio, et al.
Published: (2016)

Logistic regression from introductory to advanced concepts and applications
by: Menard, Scott
Published: (2010)

Nonparametric statistics theory and methods
by: Deshpande, J. V., et al.
Published: (2018)

Multivariate statistics for researchers
Published: (2016)

Analyzing and modeling rank data
by: Marden
Published: (1995)

Modern regression techniques using R a practical guide for students and researchers
by: Wright, Daniel B.
Published: (2009)

Modern regression techniques using R a practical guide for students and researchers
by: Wright, Daniel B.
Published: (2009)

Nonlinear models for repeated measurement data
by: Davidian, Marie
Published: (1995)

Introduction to multivariate analysis linear and nonlinear modeling
by: Konishi, Sadanori
Published: (2014)