K. Shuvo Bakar
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spTimer: Spatio-Temporal Bayesian Modelling Using R
KS Bakar, SK Sahu
Journal of Statistical Software 63 (15), 1-32, 2015
Hierarchical Bayesian autoregressive models for large space–time data with applications to ozone concentration modelling
SK Sahu, KS Bakar
Applied Stochastic Models in Business and Industry 28 (5), 395-415, 2012
Bayesian space–time model to analyse frost risk for agriculture in Southeast Australia
S Crimp, KS Bakar, P Kokic, H Jin, N Nicholls, M Howden
International Journal of Climatology 35 (8), 2092-2108, 2015
A comparison of Bayesian models for daily ozone concentration levels
SK Sahu, KS Bakar
Statistical Methodology 9 (1), 144, 2012
Hierarchical spatially varying coefficient and temporal dynamic process models using spTDyn
KS Bakar, P Kokic, H Jin
Journal of Statistical Computation and Simulation 86 (4), 820-840, 2016
Bayesian analysis of daily maximum ozone levels
KS Bakar
University of Southampton, 2012
Bayesian Forecasting Using Spatio-temporal Models with Applications to Ozone Concentration Levels in the Eastern United States
SK Sahu, KS Bakar, N Awang
Geometry Driven Statistics, 2015
A spatiodynamic model for assessing frost risk in south-eastern Australia
KS Bakar, P Kokic, H Jin
Journal of the Royal Statistical Society: Series C: Applied Statistics, 755-778, 2015
Bayesian Gaussian models for point referenced spatial and spatio-temporal data
SK Bakar, P Kokic
Journal of Statistical Research 51 (1), 17-40, 2017
Understanding frost risk in a variable and changing climate
S Crimp, D Gobbet, D Thomas, S Bakar, U Nidumolu, P Hayman, ...
Grains Research and Development Corporation, Project code MCV00010, 2012
Bayesian Gaussian models for interpolating large-dimensional data at misaligned areal units
KS Bakar
The 22nd International Congress on Modelling and Simulation (MODSIM2017), 85-91, 2017
Bayesian spatiotemporal modeling of urban air pollution dynamics
S Del Sarto, MG Ranalli, KS Bakar, D Cappelletti, B Moroni, S Crocchianti, ...
Topics on methodological and applied statistical inference, 95-103, 2016
Spatio-temporal quantitative links between climatic extremes and population flows: a case study in the Murray-Darling Basin, Australia
KS Bakar, H Jin
Climatic Change 148 (1-2), 139-153, 2018
Possible future changes in South East Australian frost frequency: an inter-comparison of statistical downscaling approaches
S Crimp, H Jin, P Kokic, S Bakar, N Nicholls
Climate Dynamics 52 (1-2), 1247-1262, 2019
Potential future scenarios for Australia's native biodiversity given on-going increases in human population
DA Pepper, H Lada, JR Thomson, KS Bakar, PS Lake, R Mac Nally
Science of the Total Environment 576, 381-390, 2017
Targeting at risk households in Bangladesh exposed to arsenic contamination: a spatial analysis
JR Khan, KS Bakar
International Journal of Environmental Health Research 30 (1), 1-12, 2020
Areal prediction of survey data using Bayesian spatial generalised linear models
KS Bakar, H Jin
Communications in Statistics-Simulation and Computation, 1-16, 2019
A method to identify drivers of societal change likely to affect natural assets in the future, illustrated with Australia's native biodiversity
DA Pepper, H Lada, JR Thomson, KS Bakar, PS Lake, R Mac Nally
Science of The Total Environment 581, 80-86, 2017
Spatial risk distribution and determinants of E. coli contamination in household drinking water: a case study of Bangladesh
JR Khan, KS Bakar
International Journal of Environmental Health Research 30 (3), 268-283, 2020
Interpolation of daily rainfall data using censored Bayesian spatially varying model
KS Bakar
Computational Statistics, 1-18, 2019
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