Общедоступные статьи - Sujit K SahuПодробнее...
16 статей доступны в некоторых источниках
A Bayesian localized conditional autoregressive model for estimating the health effects of air pollution
D Lee, A Rushworth, SK Sahu
Biometrics 70 (2), 419-429, 2014
Финансирование: UK Engineering and Physical Sciences Research Council
On the effect of preferential sampling in spatial prediction
AE Gelfand, SK Sahu, DM Holland
Environmetrics 23 (7), 565-578, 2012
Финансирование: US National Institutes of Health
Quantifying the impact of current and future concentrations of air pollutants on respiratory disease risk in England
F Pannullo, D Lee, L Neal, M Dalvi, P Agnew, FM O’Connor, ...
Environmental Health 16, 1-14, 2017
Финансирование: UK Engineering and Physical Sciences Research Council
A rigorous statistical framework for spatio-temporal pollution prediction and estimation of its long-term impact on health
D Lee, S Mukhopadhyay, A Rushworth, SK Sahu
Biostatistics 18 (2), 370-385, 2017
Финансирование: UK Engineering and Physical Sciences Research Council
Regional surface chlorophyll trends and uncertainties in the global ocean
ML Hammond, C Beaulieu, SA Henson, SK Sahu
Scientific reports 10 (1), 15273, 2020
Финансирование: UK Natural Environment Research Council
A hierarchical Bayesian model for improving short-term forecasting of hospital demand by including meteorological information
SK Sahu, B Baffour, PR Harper, JH Minty, C Sarran
Journal of the Royal Statistical Society Series A: Statistics in Society 177 …, 2014
Финансирование: UK Engineering and Physical Sciences Research Council
A Bayesian network for modelling blood glucose concentration and exercise in type 1 diabetes
SM Ewings, SK Sahu, JJ Valletta, CD Byrne, AJ Chipperfield
Statistical methods in medical research 24 (3), 342-372, 2015
Финансирование: Diabetes UK, UK Engineering and Physical Sciences Research Council
Geographic coverage of demographic surveillance systems for characterising the drivers of childhood mortality in sub-Saharan Africa
CE Utazi, SK Sahu, PM Atkinson, N Tejedor-Garavito, CT Lloyd, AJ Tatem
BMJ global health 3 (2), e000611, 2018
Финансирование: Bill & Melinda Gates Foundation, US National Institutes of Health …
Bayesian spatiotemporal modeling for estimating short‐term exposure to air pollution in Santiago de Chile
O Nicolis, M Diaz, SK Sahu, JC Marin
Environmetrics 30 (7), e2574, 2019
Финансирование: US National Oceanic and Atmospheric Administration, UK Engineering and …
A comparison of centring parameterisations of Gaussian process-based models for Bayesian computation using MCMC
MR Bass, SK Sahu
Statistics and Computing 27 (6), 1491-1512, 2017
Финансирование: UK Engineering and Physical Sciences Research Council
Modelling macronutrient dynamics in the Hampshire Avon river: A Bayesian approach to estimate seasonal variability and total flux
M Pirani, A Panton, DA Purdie, SK Sahu
Science of the Total Environment 572, 1449-1460, 2016
Финансирование: UK Natural Environment Research Council
A probabilistic predictive Bayesian approach for determining the representativeness of health and demographic surveillance networks
CE Utazi, SK Sahu, PM Atkinson, N Tejedor, AJ Tatem
Spatial Statistics 17, 161-178, 2016
Финансирование: Bill & Melinda Gates Foundation, Wellcome Trust
On generating a flexible class of anisotropic spatial models using gaussian predictive processes
SK Sahu, S Mukhopadhyay
Technical Report, University of Southampton, 2015
Финансирование: UK Engineering and Physical Sciences Research Council
Conditional probability and ratio‐based approaches for mapping the coverage of multi‐dose vaccines
CE Utazi, JMK Aheto, HMT Chan, AJ Tatem, SK Sahu
Statistics in Medicine 41 (29), 5662-5678, 2022
Финансирование: Bill & Melinda Gates Foundation
Dynamically updated spatially varying parameterizations of hierarchical Bayesian models for spatial data
MR Bass, SK Sahu
Journal of Computational and Graphical Statistics 28 (1), 105-116, 2019
Финансирование: UK Engineering and Physical Sciences Research Council
Bayesian time series regression methods for estimating national immunization coverage
CE Utazi, SK Sahu, AJ Tatem
Tech. rep., WorldPop, University of Southampton, Southampton, UK, 2020
Финансирование: US Agency for International Development
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