-
1
-
-
0043048581
-
Construction of discrete-time nonlinear filter by Monte Carlo methods with variance-reducing techniques
-
in Japanese
-
Akashi H. and Kumamoto H. 1975. Construction of discrete-time nonlinear filter by Monte Carlo methods with variance-reducing techniques. Systems and Control 19: 211-221 (in Japanese).
-
(1975)
Systems and Control
, vol.19
, pp. 211-221
-
-
Akashi, H.1
Kumamoto, H.2
-
2
-
-
0000243874
-
Random sampling approach to state estimation in switching environments
-
Akashi H. and Kumamoto H. 1977. Random sampling approach to state estimation in switching environments. Automatica 13: 429-434.
-
(1977)
Automatica
, vol.13
, pp. 429-434
-
-
Akashi, H.1
Kumamoto, H.2
-
5
-
-
0032063451
-
Switching state-space models: Likelihood function, filtering and smoothing
-
Billio M. and Monfort A. 1998. Switching state-space models: Likelihood function, filtering and smoothing. Journal of Statistical Planning and Inference 68: 65-103.
-
(1998)
Journal of Statistical Planning and Inference
, vol.68
, pp. 65-103
-
-
Billio, M.1
Monfort, A.2
-
7
-
-
0002205556
-
Rao-Blackwellisation of sampling schemes
-
Casella G. and Robert C.P. 1996. Rao-Blackwellisation of sampling schemes. Biometrika 83: 81-94.
-
(1996)
Biometrika
, vol.83
, pp. 81-94
-
-
Casella, G.1
Robert, C.P.2
-
8
-
-
0003923940
-
Predictive updating methods with application to Bayesian classification
-
Chen R. and Liu J.S. 1996. Predictive updating methods with application to Bayesian classification. Journal of the Royal Statistical Society B 58: 397-415.
-
(1996)
Journal of the Royal Statistical Society B
, vol.58
, pp. 397-415
-
-
Chen, R.1
Liu, J.S.2
-
9
-
-
0001364414
-
Fixed-lag smoothing using sequential importance sampling
-
Bernardo J.M., Berger J.O., Dawid A.P., and Smith A.F.M. (Eds.), Oxford University Press
-
Clapp T.C. and Godsill S.J. 1999. Fixed-lag smoothing using sequential importance sampling. In: Bernardo J.M., Berger J.O., Dawid A.P., and Smith A.F.M. (Eds.), Bayesian Statistics, Vol. 6, Oxford University Press, pp. 743-752.
-
(1999)
Bayesian Statistics
, vol.6
, pp. 743-752
-
-
Clapp, T.C.1
Godsill, S.J.2
-
11
-
-
0003838908
-
-
Technical Report, University of Cambridge, Dept. of Engineering, CUED-F-ENG-TR310. Available on the MCMC preprint service
-
Doucet A. 1998. On sequential simulation-based methods for Bayesian filtering. Technical Report, University of Cambridge, Dept. of Engineering, CUED-F-ENG-TR310. Available on the MCMC preprint service at http: //www.stats.bris.ac.uk/MCMC/.
-
(1998)
On Sequential Simulation-based Methods for Bayesian Filtering
-
-
Doucet, A.1
-
12
-
-
0001667705
-
Bayesian inference in Econometrics models using Monte Carlo integration
-
Geweke J. 1989. Bayesian inference in Econometrics models using Monte Carlo integration. Econometrica 57: 1317-1339.
-
(1989)
Econometrica
, vol.57
, pp. 1317-1339
-
-
Geweke, J.1
-
15
-
-
0027580559
-
Novel approach to nonlinear/non-Gaussian Bayesian state estimation
-
Gordon N.J., Salmond D.J., and Smith A.F.M. 1993. Novel approach to nonlinear/non-Gaussian Bayesian state estimation. IEE-Proceedings-F 140: 107-113.
-
(1993)
IEE-Proceedings-F
, vol.140
, pp. 107-113
-
-
Gordon, N.J.1
Salmond, D.J.2
Smith, A.F.M.3
-
16
-
-
0039816272
-
Monte Carlo techniques for prediction and filtering of non-linear stochastic processes
-
Handschin J.E. 1970. Monte Carlo techniques for prediction and filtering of non-linear stochastic processes. Automatica 6: 555-563.
-
(1970)
Automatica
, vol.6
, pp. 555-563
-
-
Handschin, J.E.1
-
17
-
-
84874286884
-
Monte Carlo techniques to estimate the conditional expectation in multi-stage non-linear filtering
-
Handschin J.E. and Mayne D.Q. 1969. Monte Carlo techniques to estimate the conditional expectation in multi-stage non-linear filtering. International Journal of Control 9: 547-559.
-
(1969)
International Journal of Control
, vol.9
, pp. 547-559
-
-
Handschin, J.E.1
Mayne, D.Q.2
-
20
-
-
84950459387
-
Non-Gaussian state-space modeling of nonstationary time series
-
Kitagawa G. 1987. Non-Gaussian state-space modeling of nonstationary time series. Journal of the American Statistical Association 82: 1032-1063.
-
(1987)
Journal of the American Statistical Association
, vol.82
, pp. 1032-1063
-
-
Kitagawa, G.1
-
21
-
-
0001627420
-
Smoothness Priors Analysis of Time Series
-
Springer
-
Kitagawa G. and Gersch G. 1996. Smoothness Priors Analysis of Time Series. Springer. Lecture Notes in Statistics, Vol. 116.
-
(1996)
Lecture Notes in Statistics
, vol.116
-
-
Kitagawa, G.1
Gersch, G.2
-
23
-
-
21344458535
-
Metropolized independent sampling with comparison to rejection sampling and importance sampling
-
Liu J.S. 1996. Metropolized independent sampling with comparison to rejection sampling and importance sampling. Statistics and Computing 6: 113-119.
-
(1996)
Statistics and Computing
, vol.6
, pp. 113-119
-
-
Liu, J.S.1
-
26
-
-
0033466420
-
Sequential importance sampling for nonparametric Bayes models: The next generation
-
MacEachern S.N., Clyde M., and Liu J.S. 1999. Sequential importance sampling for nonparametric Bayes models: The next generation. Canadian Journal of Statistics 27: 251-267.
-
(1999)
Canadian Journal of Statistics
, vol.27
, pp. 251-267
-
-
MacEachern, S.N.1
Clyde, M.2
Liu, J.S.3
-
27
-
-
0000507270
-
Monte Carlo integration in general dynamic models
-
Müller P. 1991. Monte Carlo integration in general dynamic models. Contemporary Mathematics 115: 145-163.
-
(1991)
Contemporary Mathematics
, vol.115
, pp. 145-163
-
-
Müller, P.1
-
28
-
-
0040408818
-
Posterior integration in dynamic models
-
Müller P. 1992. Posterior integration in dynamic models. Computing Science and Statistics 24: 318-324.
-
(1992)
Computing Science and Statistics
, vol.24
, pp. 318-324
-
-
Müller, P.1
-
31
-
-
0000458272
-
Using the SIR algorithm to simulate posterior distributions
-
Bernardo J.M., DeGroot M.H., Lindley D.V., and Smith A.F.M. (Eds.), Oxford University Press
-
Rubin D.B. 1988. Using the SIR algorithm to simulate posterior distributions. In: Bernardo J.M., DeGroot M.H., Lindley D.V., and Smith A.F.M. (Eds.), Bayesian Statistics, Vol. 3, Oxford University Press. 395-402.
-
(1988)
Bayesian Statistics
, vol.3
, pp. 395-402
-
-
Rubin, D.B.1
-
32
-
-
0003174553
-
Bayesian statistics without tears: A sampling-resampling perspective
-
Smith A.F.M. and Gelfand A.E. 1992. Bayesian statistics without tears: A sampling-resampling perspective. The American Statistician 46: 84-88.
-
(1992)
The American Statistician
, vol.46
, pp. 84-88
-
-
Smith, A.F.M.1
Gelfand, A.E.2
-
33
-
-
0042046815
-
The use of Bayesian belief networks to fuse continuous and discrete information for target recognition, tracking and situation assessment
-
Stewart L. and McCarty P. 1992. The use of Bayesian belief networks to fuse continuous and discrete information for target recognition, tracking and situation assessment. Proceeding Conference SPIE 1699: 177-185.
-
(1992)
Proceeding Conference SPIE
, vol.1699
, pp. 177-185
-
-
Stewart, L.1
McCarty, P.2
-
34
-
-
84904784061
-
Applying the Monte Carlo method for optimum estimation in systems with random disturbances
-
Svetnik V.B. 1986. Applying the Monte Carlo method for optimum estimation in systems with random disturbances. Automation and Remote Control 47: 818-825.
-
(1986)
Automation and Remote Control
, vol.47
, pp. 818-825
-
-
Svetnik, V.B.1
-
36
-
-
84986393031
-
Prediction, filtering and smoothing in non-linear and non-normal cases using Monte Carlo integration
-
Tanizaki H. and Mariano R.S. 1994. Prediction, filtering and smoothing in non-linear and non-normal cases using Monte Carlo integration. Journal of Applied Econometrics 9: 163-179.
-
(1994)
Journal of Applied Econometrics
, vol.9
, pp. 163-179
-
-
And, T.H.1
Mariano, R.S.2
-
37
-
-
0001359360
-
Nonlinear and non-Gaussian state-space modeling with Monte-Carlo simulations
-
Tanizaki H. and Mariano R.S. 1998. Nonlinear and non-Gaussian state-space modeling with Monte-Carlo simulations. Journal of Econometrics 83: 263-290.
-
(1998)
Journal of Econometrics
, vol.83
, pp. 263-290
-
-
Tanizaki, H.1
Mariano, R.S.2
-
38
-
-
0020178635
-
Detection and Estimation for abruptly changing systems
-
Tugnait J.K. 1982. Detection and Estimation for abruptly changing systems. Automatica 18: 607-615.
-
(1982)
Automatica
, vol.18
, pp. 607-615
-
-
Tugnait, J.K.1
-
39
-
-
0000417862
-
Mixtures models, Monte Carlo, Bayesian updating and dynamic models
-
West M. 1993. Mixtures models, Monte Carlo, Bayesian updating and dynamic models. Computer Science and Statistics 24: 325-333.
-
(1993)
Computer Science and Statistics
, vol.24
, pp. 325-333
-
-
West, M.1
|