Bias of Particle Approximations to Optimal Filter Derivative
Tadic, V
Doucet, A
(25 Jun 2018)
Discussions on "Riemann manifold Langevin and Hamiltonian Monte Carlo methods"
Barthelme, S
Beffy, M
Chopin, N
Doucet, A
Jacob, P
Johansen, A
Marin, J
Robert, C
(03 Nov 2010)
On Particle Methods for Parameter Estimation in State-Space Models
Kantas, N
Doucet, A
Singh, S
Maciejowski, J
Chopin, N
(30 Dec 2014)
Asymptotic Properties of Recursive Maximum Likelihood Estimation in Non-Linear State-Space Models
Tadic, V
Doucet, A
(25 Jun 2018)
Limit theorems for sequential MCMC methods
Finke, A
Doucet, A
Johansen, A
(03 Jul 2018)
Efficient Bayesian Inference for Switching State-Space Models using Discrete Particle Markov Chain Monte Carlo Methods
Whiteley, N
Andrieu, C
Doucet, A
(10 Nov 2010)
Interacting Particle Markov Chain Monte Carlo
Rainforth, T
Naesseth, C
Lindsten, F
Paige, B
van de Meent, J
Doucet, A
Wood, F
(16 Feb 2016)
Forward Smoothing using Sequential Monte Carlo
Del Moral, P
Doucet, A
Singh, S
(24 Dec 2010)
Uniform Stability of a Particle Approximation of the Optimal Filter Derivative
Del Moral, P
Doucet, A
Singh, S
(13 Jun 2011)
On nonlinear Markov chain Monte Carlo
Andrieu, C
Jasra, A
Doucet, A
Del Moral, P
(15 Jul 2011)