Programming With Models: Writing Statistical Algorithms for General Model Structures With NIMBLE

PyMC: Bayesian Stochastic Modelling inPython

(2015) Anand Patil et al.   Journal of Statistical Software

MCMC Methods for Multi-Response Generalized Linear Mixed Models: TheMCMCglmmRPackage

(2015) Jarrod D. Hadfield   Journal of Statistical Software

The deviance information criterion: 12 years on

(2014) David J. Spiegelhalter et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Bayesian computing with INLA: New features

(2013) Thiago G. Martins et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Understanding predictive information criteria for Bayesian models

(2013) Andrew Gelman et al.   STATISTICS AND COMPUTING

Estimability and Likelihood Inference for Generalized Linear Mixed Models Using Data Cloning

(2011) Subhash R. Lele et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models

(2011) David A. Fournier et al.   OPTIMIZATION METHODS & SOFTWARE

Particle Markov chain Monte Carlo methods

(2010) Christophe Andrieu et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Statistical inference for noisy nonlinear ecological dynamic systems

(2010) Simon N. Wood   NATURE

Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

(2009) Håvard Rue et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

The BUGS project: Evolution, critique and future directions

(2009) David Lunn et al.   STATISTICS IN MEDICINE