19 citations · 37 across the 5 of their papers we have counts for
5 papers
Efficient Bayesian model selection for coupled hidden Markov models with application to infectious diseases
Jake Carson, Trevelyan J. McKinley, Peter Neal +1
Performing model selection for coupled hidden Markov models (CHMMs) is highly challenging, owing to the large dimension of the hidden state process. Whilst in principle the hidden…
Quantifying Age and Model Uncertainties in Paleoclimate Data and Dynamical Climate Models with a Joint Inferential Analysis
Jake Carson, Michel Crucifix, Simon P. Preston +1
A major goal in paleoclimate science is to reconstruct historical climates using proxies for climate variables such as those observed in sediment cores, and in the process learn ab…
Bayesian modelling and quantification of Raman spectroscopy
Matthew Moores, Kirsten Gracie, Jake Carson +3
Raman spectroscopy can be used to identify molecules such as DNA by the characteristic scattering of light from a laser. It is sensitive at very low concentrations and can accurate…
Unbiased local solutions of partial differential equations via the Feynman-Kac Identities
Jake Carson, Murray Pollock, Mark Girolami
The Feynman-Kac formulae (FKF) express local solutions of partial differential equations (PDEs) as expectations with respect to some complementary stochastic differential equation…
Bayesian model selection for the glacial-interglacial cycle
Jake Carson, Michel Crucifix, Simon Preston +1
A prevailing viewpoint in palaeoclimate science is that a single palaeoclimate record contains insufficient information to discriminate between most competing explanatory models. R…