| spTimer: Spatio-Temporal Bayesian Modelling Using R KS Bakar, SK Sahu Journal of Statistical Software 63 (15), 1-32, 2015 | 156 | 2015 |
| 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 | 76 | 2014 |
| 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 | 61 | 2012 |
| A comparison of Bayesian models for daily ozone concentration levels SK Sahu, KS Bakar Statistical Methodology 9 (1), 144, 2012 | 39 | 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 | 33 | 2016 |
| 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 64 (5 …, 2015 | 20 | 2015 |
| 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 | 20 | 2015 |
| Emerging spectra characterization of catastrophic instabilities in complex systems A Chakraborti, K Sharma, HK Pharasi, KS Bakar, S Das, TH Seligman New Journal of Physics 22 (6), 063043, 2020 | 19 | 2020 |
| Bayesian analysis of daily maximum ozone levels KS Bakar University of Southampton, 2012 | 19 | 2012 |
| Bayesian Gaussian models for point referenced spatial and spatio-temporal data KS Bakar, P Kokic Journal of Statistical Research 51 (1), 17-40, 2017 | 17 | 2017 |
| 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, 1247-1262, 2019 | 16 | 2019 |
| 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), 139-153, 2018 | 15 | 2018 |
| Understanding frost risk in a variable and changing climate S Crimp, D Gobbet, D Thomas, S Bakar, U Nidumolu, P Hayman, ... Canberra: CSIRO, 2013 | 15 | 2013 |
| Conflict events worldwide since 1468BC: Introducing the historical conflict event dataset C Miller, KS Bakar Journal of Conflict Resolution 67 (2-3), 522-554, 2023 | 14 | 2023 |
| Improving early-season wheat yield forecasts driven by probabilistic seasonal climate forecasts H Jin, M Li, G Hopwood, Z Hochman, KS Bakar Agricultural and Forest Meteorology 315, 108832, 2022 | 12 | 2022 |
| Habitat Condition Assessment System (HCAS version 2.1) Enhanced method for mapping habitat condition and change across Australia K Williams, T Harwood, L Eric A., C Ware, L Peter, B K S, P Luke, ... https://doi.org/10.25919/n3c6-7w60, 2021 | 12 | 2021 |
| An efficient geostatistical analysis tool for on-farm experiments targeted at localised treatment H Jin, KS Bakar, BL Henderson, RGV Bramley, DL Gobbett Biosystems engineering 205, 121-136, 2021 | 11 | 2021 |
| 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 | 11 | 2020 |
| Bayesian spatiotemporal modeling of urban air pollution dynamics SD Sarto, MG Ranalli, KS Bakar, D Cappelletti, B Moroni, S Crocchianti, ... Topics on methodological and applied statistical inference, 95-103, 2016 | 10 | 2016 |
| 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 | 8 | 2017 |
