Variance partitioning in spatio-temporal disease mapping models

Bayesian disease mapping: Past, present, and future

(2022) Ying C. MacNab   Spatial Statistics

PC priors for residual correlation parameters in one-factor mixed models

(2019) Massimo Ventrucci et al.   Statistical Methods and Applications

Fractional Gaussian noise: Prior specification and model comparison

(2017) Sigrunn Holbek Sørbye et al.   ENVIRONMETRICS

In spatio-temporal disease mapping models, identifiability constraints affect PQL and INLA results

(2017) T. Goicoa et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

An intuitive Bayesian spatial model for disease mapping that accounts for scaling

(2016) Andrea Riebler et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Penalized complexity priors for degrees of freedom in Bayesian P-splines

(2016) Massimo Ventrucci et al.   STATISTICAL MODELLING

Scaling intrinsic Gaussian Markov random field priors in spatial modelling

(2013) Sigrunn Holbek Sørbye et al.   Spatial Statistics

The analysis of heterogeneous time trends in multivariate age–period–cohort models

(2009) Andrea Riebler et al.   BIOSTATISTICS

Bayesian inference for generalized linear mixed models

(2009) Y. Fong et al.   BIOSTATISTICS

Stochastic model specification search for Gaussian and partial non-Gaussian state space models

(2009) Sylvia Frühwirth-Schnatter et al.   JOURNAL OF ECONOMETRICS

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

Use of Space–Time Models to Investigate the Stability of Patterns of Disease

(2008) Juan Jose Abellan et al.   ENVIRONMENTAL HEALTH PERSPECTIVES

On the Second-Order Random Walk Model for Irregular Locations

(2008) FINN LINDGREN et al.   SCANDINAVIAN JOURNAL OF STATISTICS