106 citations · 184 across the 3 of their papers we have counts for
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stat.CO2018
Efficient sampling of conditioned Markov jump processes
Andrew Golightly, Chris Sherlock
We consider the task of generating draws from a Markov jump process (MJP) between two time-points at which the process is known. Resulting draws are typically termed bridges and th…
stat.ME2018
Direct statistical inference for finite Markov jump processes via the matrix exponential
Chris Sherlock
Given noisy, partial observations of a time-homogeneous, finite-statespace Markov chain, conceptually simple, direct statistical inference is available, in theory, via its rate mat…
stat.ME2018
Motor Unit Number Estimation via Sequential Monte Carlo
Simon Taylor, Chris Sherlock, Gareth Ridall +1
A change in the number of motor units that operate a particular muscle is an important indicator for the progress of a neuromuscular disease and the efficacy of a therapy. Inferenc…