Stochastic sampling algorithms for state estimation of jump Markov linear systems
Doucet, A
Logothetis, A
Krishnamurthy, V
IEEE Transactions on Automatic Control
volume 45
issue 2
188-202
(03 Dec 2000)
Robust full Bayesian methods for neural networks
Andrieu, C
de Freitas, J
Doucet, A
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 12
volume 12
379-385
(2000)
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Bayesian deconvolution of noisy filtered point processes
Andrieu, C
Barat, É
Doucet, A
IEEE Transactions on Signal Processing
volume 49
issue 1
134-146
(01 Jan 2001)
Model selection by MCMC computation
Andrieu, C
Djuricó, P
Doucet, A
Signal Processing
volume 81
issue 1
19-37
(01 Jan 2001)
Maximum a posteriori sequence estimation using Monte Carlo particle filters
Godsill, S
Doucet, A
West, M
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS
volume 53
issue 1
82-96
(2001)
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Particle filters for state estimation of jump Markov linear systems
Doucet, A
Gordon, N
Krishnamurthy, V
IEEE Transactions on Signal Processing
volume 49
issue 3
613-624
(01 Mar 2001)
Particle filtering for demodulation in fading channels with non-Gaussian additive noise
Punskaya, E
Andrieu, C
Doucet, A
Fitzgerald, W
IEEE Transactions on Communications
volume 49
issue 4
579-582
(01 Apr 2001)
Iterative algorithms for state estimation of jump Markov linear systems
Doucet, A
Andrieu, C
IEEE Transactions on Signal Processing
volume 49
issue 6
1216-1227
(01 Jun 2001)
Optimal estimation and Cramér-Rao bounds for partial non-Gaussian state space models
Bergman, N
Doucet, A
Gordon, N
Annals of the Institute of Statistical Mathematics
volume 53
issue 1
97-112
(01 Dec 2001)
An introduction to Monte Carlo methods for Bayesian data analysis
Andrieu, C
Doucet, A
Fitzgerald, W
NONLINEAR DYNAMICS AND STATISTICS
169-217
(2001)
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