Sequentially interacting Markov chain Monte Carlo methods
Brockwell, A
Del Moral, P
Doucet, A
(12 Nov 2012)
doi:10.48550/arxiv.1211.2582
Reversible Jump MCMC Simulated Annealing for Neural Networks
Andrieu, C
de Freitas, N
Doucet, A
(16 Jan 2013)
doi:10.48550/arxiv.1301.3833
Perfect simulation using atomic regeneration with application to Sequential Monte Carlo
Lee, A
Doucet, A
Łatuszyński, K
(22 Jul 2014)
doi:10.48550/arxiv.1407.5770
Gibbs flow for approximate transport with applications to Bayesian computation
Heng, J
Doucet, A
Pokern, Y
(29 Sep 2015)
doi:10.48550/arxiv.1509.08787
Grouping Priors and the Bayesian Elastic Net
Bornn, L
Gottardo, R
Doucet, A
(22 Jan 2010)
doi:10.48550/arxiv.1001.4083
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Doucet, A
de Freitas, N
Murphy, K
Russell, S
(16 Jan 2013)
doi:10.48550/arxiv.1301.3853
Asymptotic Bias of Stochastic Gradient Search
Tadic, V
Doucet, A
(30 Aug 2017)
doi:10.48550/arxiv.1709.00291
Stability of Optimal Filter Higher-Order Derivatives
Tadic, V
Doucet, A
(25 Jun 2018)
doi:10.48550/arxiv.1806.09595
Bias of Particle Approximations to Optimal Filter Derivative
Tadic, V
Doucet, A
(25 Jun 2018)
doi:10.48550/arxiv.1806.09590
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)
doi:10.48550/arxiv.1011.0834