| Shut and re-open: the role of schools in the spread of COVID-19 in Europe HB Stage, J Shingleton, S Ghosh, F Scarabel, L Pellis, T Finnie Philosophical Transactions of the Royal Society B 376 (1829), 20200277, 2021 | 71 | 2021 |
| Considering discrepancy when calibrating a mechanistic electrophysiology model CL Lei, S Ghosh, DG Whittaker, Y Aboelkassem, KA Beattie, CD Cantwell, ... Philosophical Transactions of the Royal Society A 378 (2173), 20190349, 2020 | 51 | 2020 |
| Probabilistic inference on noisy time series (PINTS) M Clerx, M Robinson, B Lambert, CL Lei, S Ghosh, GR Mirams, ... arXiv preprint arXiv:1812.07388, 2018 | 51 | 2018 |
| Forward and inverse modelling approaches for prediction of light stimulus from electrophysiological response in plants SK Chatterjee, S Ghosh, S Das, V Manzella, A Vitaletti, E Masi, ... Measurement 53, 101-116, 2014 | 48 | 2014 |
| Variational inference for nonlinear ordinary differential equations S Ghosh, P Birrell, D De Angelis International Conference on Artificial Intelligence and Statistics, 2719-2727, 2021 | 23 | 2021 |
| Drift removal in plant electrical signals via IIR filtering using wavelet energy S Das, BJ Ajiwibawa, SK Chatterjee, S Ghosh, K Maharatna, ... Computers and Electronics in Agriculture 118, 15-23, 2015 | 21 | 2015 |
| Autocorrelated measurement processes and inference for ordinary differential equation models of biological systems B Lambert, CL Lei, M Robinson, M Clerx, R Creswell, S Ghosh, S Tavener, ... Journal of the Royal Society Interface 20 (199), 20220725, 2023 | 11 | 2023 |
| Gaussian process emulation for discontinuous response surfaces with applications for cardiac electrophysiology models S Ghosh, DJ Gavaghan, GR Mirams arXiv preprint arXiv:1805.10020, 2018 | 7 | 2018 |
| Fast approximate Bayesian computation for estimating parameters in differential equations S Ghosh, S Dasmahapatra, K Maharatna Statistics and Computing 27 (1), 19-38, 2017 | 6 | 2017 |
| Differentiable Bayesian inference of SDE parameters using a pathwise series expansion of Brownian motion S Ghosh, PJ Birrell, D De Angelis International Conference on Artificial Intelligence and Statistics, 10982-10998, 2022 | 3 | 2022 |
| An approximate diffusion process for environmental stochasticity in infectious disease transmission modelling S Ghosh, PJ Birrell, D De Angelis PLOS Computational Biology 19 (5), e1011088, 2023 | 2 | 2023 |
| Sanmitra Ghosh's contribution to the Discussion of ‘The Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemic’ S Ghosh Journal of the Royal Statistical Society Series A: Statistics in Society 186 …, 2023 | | 2023 |
| Fast approximate Bayesian computation for inference in non-linear differential equations S Ghosh University of Southampton, 2016 | | 2016 |
