Adaptive Gaussian Markov random field spatiotemporal models for infectious disease mapping and forecasting

Bayesian disease mapping: Past, present, and future

(2022) Ying C. MacNab   Spatial Statistics

Non‐separable spatio‐temporal models via transformed multivariate Gaussian Markov random fields

(2022) Marcos O. Prates et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review

(2022) Nushrat Nazia et al.   International Journal of Environmental Research and Public Health

Near real time monitoring and forecasting for COVID-19 situational awareness

(2022) Robert Stewart et al.   APPLIED GEOGRAPHY

Ecological forecasts to inform near‐term management of threats to biodiversity

(2020) Ayesha I. T. Tulloch et al.   GLOBAL CHANGE BIOLOGY

Bayesian estimation of multivariate Gaussian Markov random fields with constraint

(2020) Ying C. MacNab   STATISTICS IN MEDICINE

Forecasting a bright future for ecology

(2019) Michael Dietze et al.   FRONTIERS IN ECOLOGY AND THE ENVIRONMENT

Spatio-Temporal Areal Unit Modeling in R with Conditional Autoregressive Priors Using the CARBayesST Package

(2018) Duncan Lee et al.   Journal of Statistical Software

Iterative near-term ecological forecasting: Needs, opportunities, and challenges

(2018) Michael C. Dietze et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Some recent work on multivariate Gaussian Markov random fields

(2018) Ying C. MacNab   TEST

An adaptive spatiotemporal smoothing model for estimating trends and step changes in disease risk

(2016) Alastair Rushworth et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

Linear models of coregionalization for multivariate lattice data: Order-dependent and order-free cMCARs

(2016) Ying C MacNab   STATISTICAL METHODS IN MEDICAL RESEARCH

Understanding predictive information criteria for Bayesian models

(2013) Andrew Gelman et al.   STATISTICS AND COMPUTING

On identification in Bayesian disease mapping and ecological–spatial regression models

(2012) Ying C MacNab   STATISTICAL METHODS IN MEDICAL RESEARCH

A spatial analysis of multivariate output from regional climate models

(2011) Stephan R. Sain et al.   Annals of Applied Statistics

On Gaussian Markov random fields and Bayesian disease mapping

(2010) Ying C MacNab   STATISTICAL METHODS IN MEDICAL RESEARCH