1 Fast Bayesian classification for disease mapping and the detection of disease clusters.- 2 A Novel Hierarchical Multinomial Approach to Modelling Age-specific Harvest Data.- 3 Detection of change-points in spatio-temporal data in presence of outliers and heavy-tailed observations.- 4 Modelling...
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1 Fast Bayesian classification for disease mapping and the detection of disease clusters.- 2 A Novel Hierarchical Multinomial Approach to Modelling Age-specific Harvest Data.- 3 Detection of change-points in spatio-temporal data in presence of outliers and heavy-tailed observations.- 4 Modelling spatio-temporal mismatch for Aerosol profiles.- 5 A SPATIO-TEMPORAL APPROACH FOR PREDICTING WIND SPEED ALONG THE COAST OF VALPARAISO, CHILE.- 6 Spatiotemporal Precipitation Variability Modeling in the Blue Nile Basin: 1998-2016.- 7 A hidden Markov random field with copula-based emission distributions for the analysis of spatial cylindrical data.
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