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Research project

Sahu, EPSRC, A rigorous statistical framework for estimating the long-term health effects of air pollution

Staff

Lead researchers

Professor Sujit Sahu

Professor of Statistics

Research interests

  • Applied Bayesian modelling
  • Bayesian computation
  • Spatio-temporal data modelling
Connect with Sujit

Email: [email protected]

Research outputs

Bayesian spatiotemporal modelling for estimating short-term exposure to air pollution in Santiago de Chile
Orietta Nicolis, Mailiu Diaz, Sujit K. Sahu & Julio Marin, 2019, Environmetrics
DOI: 10.1002/env.2574
Type: article
A rigorous statistical framework for spatio-temporal pollution prediction and estimation of its long-term impact on health
Duncan Lee, Sabyasachi Mukhopadhyay, Alastair Rushworth & Sujit Sahu, 2016, Biostatistics, 18(2), 370-385
DOI: 10.1093/biostatistics/kxw048
Type: article
spTimer
Khandoker Shuvo Bakar & Sujit Sahu, 2015, Journal of Statistical Software, 63(15), 1-32
DOI: 10.18637/jss.v063.i15
Type: article
A Bayesian localised conditional auto-regressive model for estimating the health effects of air pollution
Duncan Lee, Alastair Rushworth & Sujit K. Sahu, 2014, Biometrics, 70(2), 419-429
DOI: 10.1111/biom.12156
Type: article