78 citations · 173 across the 8 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.MS2018★ 78 cited
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…
stat.CO2018★ 7 cited
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…