4 citations · 4 across the 2 of their papers we have counts for
3 papers
Bayesian Detectability of Induced Polarisation in Airborne Electromagnetic Data using Reversible Jump Sequential Monte Carlo
Laurence Davies, Alan Yusen Ley-Cooper, Matthew Sutton +1
Detection of induced polarisation (IP) effects in airborne electromagnetic (AEM) measurements does not yet have an established methodology. This contribution develops a Bayesian ap…
Reversible Jump PDMP Samplers for Variable Selection
Augustin Chevallier, Paul Fearnhead, Matthew Sutton
A new class of Markov chain Monte Carlo (MCMC) algorithms, based on simulating piecewise deterministic Markov processes (PDMPs), have recently shown great promise: they are non-rev…
A Unified Parallel Algorithm for Regularized Group PLS Scalable to Big Data
Pierre Lafaye de Micheaux, Benoit Liquet, Matthew Sutton
Partial Least Squares (PLS) methods have been heavily exploited to analyse the association between two blocs of data. These powerful approaches can be applied to data sets where th…