-
1
-
-
77951131231
-
A tutorial on particle filtering and smoothing: Fifteen years later
-
D. Crisan and B. Rozovsky, Eds. Oxford University Press
-
A. Doucet and A. Johansen, "A tutorial on particle filtering and smoothing: Fifteen years later," in The Oxford Handbook of Nonlinear Filtering, D. Crisan and B. Rozovsky, Eds. Oxford University Press, 2011.
-
(2011)
The Oxford Handbook of Nonlinear Filtering
-
-
Doucet, A.1
Johansen, A.2
-
3
-
-
0002629270
-
Maximum likelihood from incomplete data via the em algorithm
-
A. Dempster, N. Laird, and D. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," Journal of the Royal Statistical Society, Series B, vol. 39, no. 1, pp. 1-38, 1977.
-
(1977)
Journal of the Royal Statistical Society, Series B
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.1
Laird, N.2
Rubin, D.3
-
4
-
-
0021518209
-
Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
-
S. Geman and D. Geman, "Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 6, no. 6, pp. 721-741, 1984.
-
(1984)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.6
, Issue.6
, pp. 721-741
-
-
Geman, S.1
Geman, D.2
-
5
-
-
78650803456
-
System identification of nonlinear state-space models
-
T. B. Schon, A. Wills, and B. Ninness, "System identification of nonlinear state-space models," Automatica, vol. 47, no. 1, pp. 39-49, 2011.
-
(2011)
Automatica
, vol.47
, Issue.1
, pp. 39-49
-
-
Schon, T.B.1
Wills, A.2
Ninness, B.3
-
6
-
-
41449089271
-
Sequential Monte Carlo smoothing with application to parameter estimation in nonlinear state-space models
-
J. Olsson, R. Douc, O. Cappe, and E. Moulines, "Sequential Monte Carlo smoothing with application to parameter estimation in nonlinear state-space models," Bernoulli, vol. 14, no. 1, pp. 155-179, 2008.
-
(2008)
Bernoulli
, vol.14
, Issue.1
, pp. 155-179
-
-
Olsson, J.1
Douc, R.2
Cappe, O.3
Moulines, E.4
-
7
-
-
77953523599
-
Particle markov chain monte carlo methods
-
C. Andrieu, A. Doucet, and R. Holenstein, "Particle Markov chain Monte Carlo methods," Journal of the Royal Statistical Society: Series B, vol. 72, no. 3, pp. 269-342, 2010.
-
(2010)
Journal of the Royal Statistical Society: Series B
, vol.72
, Issue.3
, pp. 269-342
-
-
Andrieu, C.1
Doucet, A.2
Holenstein, R.3
-
8
-
-
84877753643
-
Ancestor sampling for particle Gibbs
-
Lake Tahoe, NV, USA, Dec.
-
F. Lindsten, M. I. Jordan, and T. B. Schon, "Ancestor sampling for particle Gibbs," in Proceedings of the 2012 Conference on Neural Information Processing Systems (NIPS), Lake Tahoe, NV, USA, Dec. 2012.
-
(2012)
Proceedings of the 2012 Conference on Neural Information Processing Systems (NIPS)
-
-
Lindsten, F.1
Jordan, M.I.2
Schon, T.B.3
-
9
-
-
84867622280
-
On the use of backward simulation in the particle Gibbs sampler
-
Kyoto, Japan, Mar.
-
F. Lindsten and T. B. Schon, "On the use of backward simulation in the particle Gibbs sampler," in Proceedings of the 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, Mar. 2012.
-
(2012)
Proceedings of the 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
-
-
Lindsten, F.1
Schon, T.B.2
-
10
-
-
80052895786
-
-
Tech. Rep., Bristol Statistics Research Report 10:04
-
N. Whiteley, C. Andrieu, and A. Doucet, "Efficient Bayesian inference for switching state-space models using discrete particle Markov chain Monte Carlo methods," Tech. Rep., Bristol Statistics Research Report 10:04, 2010.
-
(2010)
Efficient Bayesian Inference for Switching State-space Models Using Discrete Particle Markov Chain Monte Carlo Methods
-
-
Whiteley, N.1
Andrieu, C.2
Doucet, A.3
-
11
-
-
0033243858
-
Convergence of a stochastic approximation version of the em algorithm
-
B. Delyon, M. Lavielle, and E. Moulines, "Convergence of a stochastic approximation version of the EM algorithm," The Annals of Statistics, vol. 27, no. 1, pp. 94-128, 1999.
-
(1999)
The Annals of Statistics
, vol.27
, Issue.1
, pp. 94-128
-
-
Delyon, B.1
Lavielle, M.2
Moulines, E.3
-
13
-
-
84887887005
-
-
Tech. Rep. hal-00519576, v2, Universite Paris Descartes, MAP5
-
S. Donnet and A. Samson, "EM algorithm coupled with particle filter for maximum likelihood parameter estimation of stochastic differential mixed-effects models," Tech. Rep. hal-00519576, v2, Universite Paris Descartes, MAP5, 2011.
-
(2011)
EM Algorithm Coupled with Particle Filter for Maximum Likelihood Parameter Estimation of Stochastic Differential Mixed-effects Models
-
-
Donnet, S.1
Samson, A.2
-
14
-
-
84950432017
-
A Monte Carlo implementation of the em algorithm and the poor man's data augmentation algorithms
-
G. C. G. Wei and M. A. Tanner, "A Monte Carlo implementation of the EM algorithm and the poor man's data augmentation algorithms," Journal of the American Statistical Association, vol. 85, no. 411, pp. 699-704, 1990.
-
(1990)
Journal of the American Statistical Association
, vol.85
, Issue.411
, pp. 699-704
-
-
Wei, G.C.G.1
Tanner, M.A.2
-
15
-
-
0042358780
-
Convergence of the monte carlo expectation maximization for curved exponential families
-
G. Fort and E. Moulines, "Convergence of the Monte Carlo expectation maximization for curved exponential families," The Annals of Statistics, vol. 31, no. 4, pp. 1220-1259, 2003.
-
(2003)
The Annals of Statistics
, vol.31
, Issue.4
, pp. 1220-1259
-
-
Fort, G.1
Moulines, E.2
-
16
-
-
2142848605
-
Monte Carlo smoothing for nonlinear time series
-
Mar.
-
S. J. Godsill, A. Doucet, and M. West, "Monte Carlo smoothing for nonlinear time series," Journal of the American Statistical Association, vol. 99, no. 465, pp. 156-168, Mar. 2004.
-
(2004)
Journal of the American Statistical Association
, vol.99
, Issue.465
, pp. 156-168
-
-
Godsill, S.J.1
Doucet, A.2
West, M.3
-
17
-
-
0003778897
-
-
Springer-Verlag, New York, USA
-
A. Benveniste, M. Metivier, and P. Priouret, Adaptive algorithms and stochastic approximations, Springer-Verlag, New York, USA, 1990.
-
(1990)
Adaptive Algorithms and Stochastic Approximations
-
-
Benveniste, A.1
Metivier, M.2
Priouret, P.3
-
18
-
-
33244461073
-
Stability of stochastic approximation under verifiable conditions
-
C. Andrieu, E. Moulines, and P. Priouret, "Stability of stochastic approximation under verifiable conditions," SIAM Journal on Control and Optimization, vol. 44, no. 1, pp. 283-312, 2005.
-
(2005)
SIAM Journal on Control and Optimization
, vol.44
, Issue.1
, pp. 283-312
-
-
Andrieu, C.1
Moulines, E.2
Priouret, P.3
-
19
-
-
13444249563
-
Coupling a stochastic approximation version of em with an MCMC procedure
-
E. Kuhn and M. Lavielle, "Coupling a stochastic approximation version of EM with an MCMC procedure," ESAIM: Probability and Statistics, vol. 8, pp. 115-131, 2004.
-
(2004)
ESAIM: Probability and Statistics
, vol.8
, pp. 115-131
-
-
Kuhn, E.1
Lavielle, M.2
-
20
-
-
84867061388
-
Discussion on particle markov chain monte carlo methods
-
N. Whiteley, "Discussion on Particle Markov chain Monte Carlo methods," Journal of the Royal Statistical Society: Series B, 72(3), p 306-307, 2010.
-
(2010)
Journal of the Royal Statistical Society: Series B
, vol.72
, Issue.3
, pp. 306-307
-
-
Whiteley, N.1
-
21
-
-
77955745818
-
Particle filter theory and practice with positioning applications
-
F. Gustafsson, "Particle filter theory and practice with positioning applications," IEEE Aerospace and Electronic Systems Magazine, vol. 25, no. 7, pp. 53-82, 2010.
-
(2010)
IEEE Aerospace and Electronic Systems Magazine
, vol.25
, Issue.7
, pp. 53-82
-
-
Gustafsson, F.1
-
22
-
-
1542427941
-
Filtering via simulation: Auxiliary particle filters
-
M. K. Pitt and N. Shephard, "Filtering via simulation: Auxiliary particle filters," Journal of the American Statistical Association, vol. 94, no. 446, pp. 590-599, 1999.
-
(1999)
Journal of the American Statistical Association
, vol.94
, Issue.446
, pp. 590-599
-
-
Pitt, M.K.1
Shephard, N.2
-
23
-
-
72349096106
-
Online sequential monte carlo em algorithm
-
Cardiff, Wales, UK, Sept.
-
O. Cappe, "Online sequential Monte Carlo EM algorithm," in Proceedings of the IEEE Workshop Statististical Signal Process (SSP), Cardiff, Wales, UK, Sept. 2009.
-
(2009)
Proceedings of the IEEE Workshop Statististical Signal Process (SSP)
-
-
Cappe, O.1
-
24
-
-
82655181336
-
Sequential monte carlo smoothing for general state space hidden markov models
-
R. Douc, A. Garivier, E. Moulines, and J. Olsson, "Sequential Monte Carlo smoothing for general state space hidden Markov models," Annals of Applied Probability, vol. 21, no. 6, pp. 2109-2145, 2011.
-
(2011)
Annals of Applied Probability
, vol.21
, Issue.6
, pp. 2109-2145
-
-
Douc, R.1
Garivier, A.2
Moulines, E.3
Olsson, J.4
-
25
-
-
84890507871
-
Adaptive stopping for fast particle smoothing
-
Vancouver, Canada, May
-
E. Taghavi, F. Lindsten, L. Svensson, and T. B. Schon, "Adaptive stopping for fast particle smoothing," in Proceedings of the 38th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada, May 2013.
-
(2013)
Proceedings of the 38th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
-
-
Taghavi, E.1
Lindsten, F.2
Svensson, L.3
Schon, T.B.4
-
26
-
-
84873282998
-
Improved particle approximations to the joint smoothing distribution using Markov chain Monte Carlo
-
P. Bunch and S. Godsill, "Improved particle approximations to the joint smoothing distribution using Markov chain Monte Carlo," IEEE Transactions on Signal Processing, vol. 61, no. 4, pp. 956-963, 2013.
-
(2013)
IEEE Transactions on Signal Processing
, vol.61
, Issue.4
, pp. 956-963
-
-
Bunch, P.1
Godsill, S.2
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