GeoBUGS has been developed by a team at the Department of Epidemiology and Public Health of Imperial College at St Mary’s Hospital London. It is an add-on to WinBUGS that fits spatial models and produces a range of maps as output.
Keywords for this software
References in zbMATH (referenced in 9 articles )
Showing results 1 to 9 of 9.
- Martin King; Fernando Calamente; Chris Clark; David Gadian: Markov Chain Monte Carlo Random Effects Modeling in Magnetic Resonance Image Processing Using the BRugs Interface to WinBUGS (2011) not zbMATH
- Ren, Qian; Banerjee, Sudipto; Finley, Andrew O.; Hodges, James S.: Variational Bayesian methods for spatial data analysis (2011)
- Yu, Qingzhao; MacEachern, Steven N.; Peruggia, Mario: Bayesian synthesis: combining subjective analyses, with an application to ozone data (2011)
- Turkman, Kamil Feridun; Amaral Turkman, M. A.; Pereira, J. M.: Asymptotic models and inference for extremes of spatio-temporal data (2010)
- Wheeler, David C.; Hickson, Demarc A.; Waller, Lance A.: Assessing local model adequacy in Bayesian hierarchical models using the partitioned deviance information criterion (2010)
- Calder, C. A.; Craigmile, P. F.; Zhang, J.: Regional spatial modeling of topsoil geochemistry (2009)
- Webster, Raymond A.; Pollock, Kenneth H.; Simons, Theodore R.: Bayesian spatial modeling of data from avian point count surveys (2008)
- Wheeler, David C.; Waller, Lance A.: Mountains, valleys, and rivers: the transmission of raccoon rabies over a heterogeneous landscape (2008)
- Arató, N. Miklós; Dryden, Ian L.; Taylor, Charles C.: Hierarchical Bayesian modelling of spatial age-dependent mortality (2006)