Integrated Nested Laplace Approximations (INLA)

Space–time smoothing of complex survey data: Small area estimation for child mortality

Mercer, L. D., Wakefield, J., Pantazis, A., Lutambi, A. M., Masanja, H., and Clark, S. (2015) · 1905

Earlier work this paper cites.

Equation of state calculations by fast computing machines

Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., and Teller, E. (1953) · 1953

Earlier work this paper cites.

Monte Carlo sampling methods using Markov chains and their applications

Hastings, W. K. (1970) · 1970

Earlier work this paper cites.

Extra-poisson variation in log-linear models

Breslow, N. E. (1984) · 1984

Earlier work this paper cites.

Accurate approximations for posterior moments and marginal densities

Tierney, L. and Kadane, J. B. (1986) · 1986

Earlier work this paper cites.

Bayesian image restoration, with two applications in spatial statistics

Besag, J., York, J., and Mollié, A. (1991) · 1991

Earlier work this paper cites.

Bayesian measures of model complexity and fit

Spiegelhalter, D. J., Best, N. G., Carlin, B. P., and Van Der Linde, A. (2002) · 2002

Earlier work this paper cites.

Gaussian Markov Random Fields: Theory And Applications (Monographs on Statistics and Applied Probability)

Rue, H. and Held, L. (2005) · 2005

Earlier work this paper cites.

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

Rue, H., Martino, S., and Chopin, N. (2009) · 2009

Earlier work this paper cites.

Posterior and cross-validatory predictive checks: A comparison of MCMC and INLA

Held, L., Schrödle, B., and Rue, H. (2010) · 2010

Earlier work this paper cites.

Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory

Watanabe, S. (2010) · 2010

Earlier work this paper cites.

Probabilistic sensitivity analysis in health economics

Baio, G. and Dawid, A. P. (2011) · 2011

Earlier work this paper cites.

An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach

Lindgren, F., Rue, H., and Lindström, J. (2011) · 2011

Earlier work this paper cites.

Bayesian analysis of RNA sequencing data by estimating multiple shrinkage priors

Van De Wiel, M. A., Leday, G. G., Pardo, L., Rue, H., Van Der Vaart, A. W., and Van Wieringen, W. N. (2012) · 2012

Cited alongside, same era.

Animal models and integrated nested Laplace approximations

Holand, A., Steinsland, I., Martino, S., and Jensen, H. (2013) · 2013

Cited alongside, same era.

Bayesian computing with INLA: new features

Martins, T. G., Simpson, D., Lindgren, F., and Rue, H. (2013) · 2013

Cited alongside, same era.

Approximate Bayesian inference for spatial econometrics models

Bivand, R. S., Gómez-Rubio, V., and Rue, H. (2014) · 2014

Cited alongside, same era.

Spatial data analysis with R-INLA with some extensions

Bivand, R. S., Gómez-Rubio, V., and Rue, H. (2015) · 2015

Cited alongside, same era.

Excursion and contour uncertainty regions for latent Gaussian models

Bolin, D. and Lindgren, F. (2015) · 2015

Spatio-temporal analysis of epidemic phenomena using the R package surveillance

Meyer, S., Held, L., and Höhle, M. (2017) · 2017

Later among the works it cites.

Projecting the future burden of cancer: Bayesian age–period–cohort analysis with integrated nested Laplace approximations

Riebler, A. and Held, L. (2017) · 2017

Later among the works it cites.

Bayesian computing with INLA: A review

Rue, H., Riebler, A., Sørbye, S. H., Illian, J. B., Simpson, D. P., and Lindgren, F. K. (2017) · 2017

Later among the works it cites.

Penalising model component complexity: A principled, practical approach to constructing priors

Simpson, D., Rue, H., Riebler, A., Martins, T. G., and Sørbye, S. H. (2017) · 2017

Later among the works it cites.

Generalized Additive Models: An Introduction with R

Wood, S. (2017) · 2017

Later among the works it cites.

Spatial modeling with R-INLA: A review