78 citations · 273 across the 8 of their papers we have counts for
9 papers
Autocorrelated measurement processes and inference for ordinary differential equation models of biological systems
Ben Lambert, Chon Lok Lei, Martin Robinson +5
Ordinary differential equation models are used to describe dynamic processes across biology. To perform likelihood-based parameter inference on these models, it is necessary to spe…
An approximate diffusion process for environmental stochasticity in infectious disease transmission modelling
Sanmitra Ghosh, Paul J. Birrell, Daniela De Angelis
Modelling the transmission dynamics of an infectious disease is a complex task. Not only it is difficult to accurately model the inherent non-stationarity and heterogeneity of tran…
Shut and re-open: the role of schools in the spread of COVID-19 in Europe
Helena B. Stage, Joseph Shingleton, Sanmitra Ghosh +3
We investigate the effect of school closure and subsequent reopening on the transmission of COVID-19, by considering Denmark, Norway, Sweden, and German states as case studies. By…
Considering discrepancy when calibrating a mechanistic electrophysiology model
Chon Lok Lei, Sanmitra Ghosh, Dominic G. Whittaker +14
Uncertainty quantification (UQ) is a vital step in using mathematical models and simulations to take decisions. The field of cardiac simulation has begun to explore and adopt UQ me…
Probabilistic Inference on Noisy Time Series (PINTS)
Michael Clerx, Martin Robinson, Ben Lambert +4
Time series models are ubiquitous in science, arising in any situation where researchers seek to understand how a system's behaviour changes over time. A key problem in time series…
Gaussian process emulation for discontinuous response surfaces with applications for cardiac electrophysiology models
Sanmitra Ghosh, David J. Gavaghan, Gary R. Mirams
Mathematical models of biological systems are beginning to be used for safety-critical applications, where large numbers of repeated model evaluations are required to perform uncer…
Drift Removal in Plant Electrical Signals via IIR Filtering Using Wavelet Energy
Saptarshi Das, Barry Juans Ajiwibawa, Shre Kumar Chatterjee +6
Plant electrical signals often contains low frequency drifts with or without the application of external stimuli. Quantification of the randomness in plant signals in a stimulus-sp…
Fast Approximate Bayesian Computation for Estimating Parameters in Differential Equations
Sanmitra Ghosh, Srinandan Dasmahapatra, Koushik Maharatna
Approximate Bayesian computation (ABC) using a sequential Monte Carlo method provides a comprehensive platform for parameter estimation, model selection and sensitivity analysis in…
Forward and Inverse Modelling Approaches for Prediction of Light Stimulus from Electrophysiological Response in Plants
Shre Kumar Chatterjee, Sanmitra Ghosh, Saptarshi Das +6
In this paper, system identification approach has been adopted to develop a novel dynamical model for describing the relationship between light as an environmental stimulus and the…