TRACKING OF MULTIPLE MERGING AND SPLITTING TARGETS: A STATISTICAL PERSPECTIVE COMMENTARY
Doucet, A
Vo, B
STATISTICA SINICA
volume 19
issue 1
39-41
(2009)
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Particle-method-based formulation of risk-sensitive filter
Sadhu, S
Bhaumik, S
Doucet, A
Ghoshal, T
Signal Processing
volume 89
issue 3
314-319
(01 Mar 2009)
A functional central limit theorem for a class of interacting Markov chain monte carlo methods
Bercu, B
Del Moral, P
Electronic Journal of Probability
volume 14
2130-2155
(01 Jan 2009)
A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot
Martinez-Cantin, R
De Freitas, N
Brochu, E
Castellanos, J
Doucet, A
Autonomous Robots
volume 27
issue 2
93-103
(01 Aug 2009)
Sequential Monte Carlo methods for diffusion processes
Jasra, A
Doucet, A
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
volume 465
issue 2112
3709-3727
(08 Dec 2009)
A new class of interacting Markov chain Monte Carlo methods
Del Moral, P
Doucet, A
Comptes Rendus Mathematique
volume 348
issue 1-2
79-83
(01 Jan 2010)
An efficient computational approach for prior sensitivity analysis and cross-validation
Bornn, L
Doucet, A
Gottardo, R
Canadian Journal of Statistics
volume 38
issue 1
47-64
(01 Jan 2010)
Particle Markov chain Monte Carlo methods
Andrieu, C
Doucet, A
Holenstein, R
Journal of the Royal Statistical Society. Series B: Statistical Methodology
volume 72
issue 3
269-342
(2010)
A backward particle interpretation of Feynman-Kac formulae
Del Moral, P
Doucet, A
Singh, S
ESAIM: Mathematical Modelling and Numerical Analysis
volume 44
issue 5
947-975
(01 Jan 2010)
On solving integral equations using Markov chain Monte Carlo methods
Doucet, A
Johansen, A
Tadić, V
Applied Mathematics and Computation
volume 216
issue 10
2869-2880
(15 Jul 2010)