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Issue DateTitleAuthor(s)
18-Jan-2012Bayesian parameter inference for partially observed stopped processesJasra, A; Kantas, N; Persing, A
22-Mar-2016ON THE CONVERGENCE OF ADAPTIVE SEQUENTIAL MONTE CARLO METHODSBeskos, A; Jasra, A; Kantas, N; Thiery, A
23-Sep-2014Sequential Monte Carlo methods for high-dimensional inverse problems: a case study for the Navier-Stokes equationsKantas, N; Beskos, A; Jasra, A
4-May-2014Approximate bayesian computation for smoothingMartin, JS; Jasra, A; Singh, SS; Whiteley, N; Del Moral, P, et al
1-Jun-2013Inference for a class of partially observed point process modelsMartin, JS; Jasra, A; McCoy, E
31-May-2018Particle filtering for stochastic Navier-Stokes signal observed with linear additive noiseLlopis, FP; Kantas, N; Beskos, A; Jasra, A
5-Feb-2012Linear variance bounds for particle approximations of time-homogeneous Feynman-Kac formulaeWhiteley, N; Kantas, N; Jasra, A
12-Jul-2013Gradient free parameter estimation for hidden Markov models with intractable likelihoodsEhrlich, E; Jasra, A; Kantas, N; Engineering & Physical Science Research Council (EPSRC)
1-May-2014Approximate inference for observation-driven time series models with intractable likelihoodsJasra, A; Kantas, N; Ehrlich, E
-Some discussions of D. Fearnhead and D. Prangle's Read Paper "Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation"Andrieu, C; Barthelme, S; Chopin, N; Cornebise, J; Doucet, A, et al