-
1
-
-
14344249743
-
The infinite hidden Markov model
-
Cambridge, MA: MIT Press
-
Beal, M. J., Ghahramani, Z., Rasmussen, C. E. (2001). The infinite hidden Markov model. Proc. of Fourteenth Annual Conference on Neural Information Processing Systems. Cambridge, MA: MIT Press.
-
(2001)
Proc. of Fourteenth Annual Conference on Neural. Information Processing Systems
-
-
Beal, M.J.1
Ghahramani, Z.2
Rasmussen, C.E.3
-
3
-
-
44649107771
-
An overview of existing methods and recent advances in sequential Monte Carlo
-
Cappe, O., Godsill, S. J., Moulines, E. (2007). An overview of existing methods and recent advances in sequential Monte Carlo. Proc. of the IEEE 95:899-924.
-
(2007)
Proc. of the IEEE
, vol.95
, pp. 899-924
-
-
Cappe, O.1
Godsill, S.J.2
Moulines, E.3
-
5
-
-
77957313313
-
Particle learning and smoothing
-
Durham, NC: Department of Statistical Sciences, Duke University, Durham, NC
-
Carvalho, C. M., Johannes, M., Lopes, H. F., Polson, N. G. (2008). Particle Learning and Smoothing, Technical Report. Durham, NC: Department of Statistical Sciences, Duke University, Durham, NC.
-
(2008)
Technical Report
-
-
Carvalho, C.M.1
Johannes, M.2
Lopes, H.F.3
Polson, N.G.4
-
6
-
-
78650791558
-
Particle learning for general mixtures
-
Durham, NC: Department of Statistical Sciences Duke University, Durham, NC
-
Carvalho, C. M., Lopes, H. F., Polson, N. G., Taddy, M. (2009). Particle Learning for General Mixtures, Technical Report. Durham, NC: Department of Statistical Sciences Duke University, Durham, NC.
-
(2009)
Technical Report
-
-
Carvalho, C.M.1
Lopes, H.F.2
Polson, N.G.3
Taddy, M.4
-
9
-
-
0001120413
-
A Bayesian analysis of some nonparametric problems
-
Ferguson, T. S. (1973). A Bayesian analysis of some nonparametric problems. Annals of Statistics 1:209-230.
-
(1973)
Annals of Statistics
, vol.1
, pp. 209-230
-
-
Ferguson, T.S.1
-
10
-
-
56449084167
-
An HDP-HMM for systems with state persistence
-
New York: ACM
-
Fox, E., Sudderth, E., Jordan, M. I., Willsky, A. (2008). An HDP-HMM for systems with state persistence. Proc. of the 25th International Conference on Machine Learning (ICML). New York: ACM, pp. 312-319.
-
(2008)
Proc. of the 25th International Conference on Machine Learning (ICML)
, pp. 312-319
-
-
Fox, E.1
Sudderth, E.2
Jordan, M.I.3
Willsky, A.4
-
11
-
-
56449130659
-
Beam sampling for the infinite hidden Markov model
-
New York: ACM
-
van Gael, J., Saatci, Y., Teh, Y.-W., Ghahramani, Z. (2008). Beam sampling for the infinite hidden Markov model. Proc. of the 25th International Conference on Machine Learning (ICML). New York: ACM, pp. 1088-1095.
-
(2008)
Proc. of the 25th International Conference on Machine Learning (ICML)
, pp. 1088-1095
-
-
Van Gael, J.1
Saatci, Y.2
Teh, Y.-W.3
Ghahramani, Z.4
-
12
-
-
2142848605
-
Monte Carlo Smoothing for Nonlinear Time Series
-
Godsill, S. J., Doucet, A., West, M. (2004). Monte Carlo smoothing for nonlinear time series. Journal of the American Statistical Association 99:156-168. (Pubitemid 38545203)
-
(2004)
Journal of the American Statistical Association
, vol.99
, Issue.465
, pp. 156-168
-
-
Godsill, S.J.1
Doucet, A.2
West, M.3
-
13
-
-
84952181953
-
Bayesian analysis of stochastic volatility models
-
Jacquier, E., Polson, N. G., Rossi, P. E. (1994). Bayesian analysis of stochastic volatility models. Journal of Business and Economic Statistics 12:371-389.
-
(1994)
Journal of Business and Economic Statistics
, vol.12
, pp. 371-389
-
-
Jacquier, E.1
Polson, N.G.2
Rossi, P.E.3
-
15
-
-
0001225908
-
Combined parameter and state estimation in simulation-based filtering
-
Doucet, A., de Freitas, N., Gordon, N., eds, New York: Springer
-
Liu, J., West, M. (2001). Combined parameter and state estimation in simulation-based filtering. In: Doucet, A., de Freitas, N., Gordon, N., eds. Sequential Monte Carlo Methods in Practice. New York: Springer.
-
(2001)
Sequential Monte Carlo Methods in Practice
-
-
Liu, J.1
West, M.2
-
16
-
-
0001876649
-
On a class of Bayesian nonparametric estimates: I. Density estimates
-
Lo, A. Y. (1984). On a class of Bayesian nonparametric estimates: I. Density estimates. Annals of Statistics 12:351-357.
-
(1984)
Annals of Statistics
, vol.12
, pp. 351-357
-
-
Lo, A.Y.1
-
17
-
-
77950032550
-
Markov chain sampling methods for Dirichlet process mixture models
-
Neal, R. M. (2000). Markov chain sampling methods for Dirichlet process mixture models. Journal of Computational and Graphical Statistics 9:249-265.
-
(2000)
Journal of Computational and Graphical Statistics
, vol.9
, pp. 249-265
-
-
Neal, R.M.1
-
18
-
-
42349110085
-
The nested Dirichlet process, with discussion
-
Rodriguez, A., Dunson, D. B., Gelfand, A. E. (2008). The nested Dirichlet process, with discussion. Journal of American Statistical Association 103:1131-1154.
-
(2008)
Journal of American Statistical Association
, vol.103
, pp. 1131-1154
-
-
Rodriguez, A.1
Dunson, D.B.2
Gelfand, A.E.3
-
19
-
-
78349286407
-
Latent stick-breaking processes
-
Rodriguez, A., Dunson, D. B., Gelfand, A. E. (2010). Latent stick-breaking processes. Journal of the American Statistical Association 105:647-659.
-
(2010)
Journal of the American Statistical Association
, vol.105
, pp. 647-659
-
-
Rodriguez, A.1
Dunson, D.B.2
Gelfand, A.E.3
-
20
-
-
0000720609
-
A constructive definition of Dirichelt priors
-
Sethuraman, J. (1994). A constructive definition of Dirichelt priors. Statistica Sinica 4:639-650.
-
(1994)
Statistica Sinica
, vol.4
, pp. 639-650
-
-
Sethuraman, J.1
-
21
-
-
33749249312
-
Hierarchical Dirichlet processes
-
Teh, Y. W., Jordan, M. I., Beal, M. J., Blei, D. M. (2006). Hierarchical Dirichlet processes. Journal of the American Statistical Association 101:1566-1581.
-
(2006)
Journal of the American Statistical Association
, vol.101
, pp. 1566-1581
-
-
Teh, Y.W.1
Jordan, M.I.2
Beal, M.J.3
Blei, D.M.4
-
22
-
-
33847707418
-
Sampling the Dirichlet mixture model with slices
-
DOI 10.1080/03610910601096262, PII 771909682
-
Walker, S. G. (2007). Sampling the Dirichlet mixture model with slices. Communications in Statistics-Simulation and Computation 36:45-54. (Pubitemid 46370187)
-
(2007)
Communications in Statistics: Simulation and Computation
, vol.36
, Issue.1
, pp. 45-54
-
-
Walker, S.G.1
|