Monte carlo smoothing for nonlinear time series
Godsill, S
Doucet, A
West, M
Journal of the American Statistical Association
volume 99
issue 465
156-168
(01 Mar 2004)
Reversible jump Markov chain Monte Carlo strategies for Bayesian model selection in autoregressive processes
Vermaak, J
Andrieu, C
Doucet, A
Godsill, S
Journal of Time Series Analysis
volume 25
issue 6
785-809
(01 Nov 2004)
Particle motions in absorbing medium with hard and soft obstacles
Del Moral, P
Doucet, A
STOCHASTIC ANALYSIS AND APPLICATIONS
volume 22
issue 5
1175-1207
(2004)
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=elements_prod_1&SrcAuth=WosAPI&KeyUT=WOS:000224376800003&DestLinkType=FullRecord&DestApp=WOS_CPL
Smoothing algorithms for state-space models
Briers, M
Doucet, A
Maskell, S
Annals of the Institute of Statistical Mathematics
volume 62
issue 1
61-89
(01 Feb 2010)
Robust full Bayesian learning for radial basis networks.
Andrieu, C
de Freitas, N
Doucet, A
Neural Comput
volume 13
issue 10
2359-2407
(Oct 2001)
https://www.ncbi.nlm.nih.gov/pubmed/11571002
Sequential monte carlo methods To train neural network models.
de Freitas JF
M Niranjan M
Gee, A
doucet, A
Neural Comput
volume 12
issue 4
955-993
(Apr 2000)
https://www.ncbi.nlm.nih.gov/pubmed/10770839
Correlated multi-asset portfolio optimisation with transaction cost
Law, S
Lee, C
Howison, S
Dewynne, J
(14 May 2007)
Few-body bound complexes in one-dimensional dipolar gases and nondestructive optical detection
Zinner, N
Wunsch, B
Mekhov, I
Huang, S
Wang, D
Demler, E
Physical Review A
volume 84
issue 6
063606
(01 Dec 2011)
Accretion by the Galaxy
Binney, J
Fraternali, F
EPJ Web of Conferences
volume 19
08001-08001
(07 Feb 2012)