62 citations · 177 across the 23 of their papers we have counts for
5 papers · 1 filter
Identification and Estimation of Quantum Linear Input-Output Systems
Matthew Levitt, Mădălin Guţă, Theodore Kypraios
The system identification problem is to estimate dynamical parameters from the output data, obtained by performing measurements on the output fields. We investigate system identifi…
Bayes factors for partially observed stochastic epidemic models
Muteb Alharthi, Theodore Kypraios, Philip D. O'Neill
We consider the problem of model choice for stochastic epidemic models given partial observation of a disease outbreak through time. Our main focus is on the use of Bayes factors.…
Bayesian nonparametrics for stochastic epidemic models
Theodore Kypraios, Philip D. O'Neill
The vast majority of models for the spread of communicable diseases are parametric in nature and involve underlying assumptions about how the disease spreads through a population.…
Efficient SMC schemes for stochastic kinetic models
Andrew Golightly, Theodore Kypraios
Fitting stochastic kinetic models represented by Markov jump processes within the Bayesian paradigm is complicated by the intractability of the observed data likelihood. There has…
Auxiliary Variables for Bayesian Inference in Multi-Class Queueing Networks
Iker Perez, David Hodge, Theodore Kypraios
Queue networks describe complex stochastic systems of both theoretical and practical interest. They provide the means to assess alterations, diagnose poor performance and evaluate…