Andrew Lawson to Markov Chains
This is a "connection" page, showing publications Andrew Lawson has written about Markov Chains.
Connection Strength
0.884
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Cluster modelling of disease incidence via RJMCMC methods: a comparative evaluation. Reversible jump Markov chain Monte Carlo. Stat Med. 2000 Sep 15-30; 19(17-18):2361-75.
Score: 0.174
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NIMBLE for Bayesian Disease Mapping. Spat Spatiotemporal Epidemiol. 2020 Jun; 33:100323.
Score: 0.167
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A Bayesian space-time model for clustering areal units based on their disease trends. Biostatistics. 2019 10 01; 20(4):681-697.
Score: 0.163
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MCMC methods for putative pollution source problems in environmental epidemiology. Stat Med. 1995 Nov 15-30; 14(21-22):2473-85.
Score: 0.124
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Some simple tests for spatial effects around putative sources of health risk. Biom J. 2007 Aug; 49(4):493-504.
Score: 0.070
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Online updating of space-time disease surveillance models via particle filters. Stat Methods Med Res. 2006 Oct; 15(5):423-44.
Score: 0.066
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A statistical framework for biomedical literature mining. Stat Med. 2017 Sep 30; 36(22):3461-3474.
Score: 0.035
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Comparing INLA and OpenBUGS for hierarchical Poisson modeling in disease mapping. Spat Spatiotemporal Epidemiol. 2015 Jul-Oct; 14-15:45-54.
Score: 0.031
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Bayesian accelerated failure time model for space-time dependency in a geographically augmented survival model. Stat Methods Med Res. 2017 Oct; 26(5):2244-2256.
Score: 0.031
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Comparing variational Bayes with Markov chain Monte Carlo for Bayesian computation in neuroimaging. Stat Methods Med Res. 2013 Aug; 22(4):398-423.
Score: 0.024