-
1
-
-
0032329029
-
Asymptotic normality of the maximum likelihood estimator for general hidden Markov models
-
Bickel P., Ritov Y., and Rydén T. Asymptotic normality of the maximum likelihood estimator for general hidden Markov models. Ann. Statist. 26 (1998) 1614-1635
-
(1998)
Ann. Statist.
, vol.26
, pp. 1614-1635
-
-
Bickel, P.1
Ritov, Y.2
Rydén, T.3
-
2
-
-
0001821084
-
Particle filters-a theoretical perspective
-
Doucet A., de Freitas N., and Gordon N. (Eds), Springer-Verlag, New York
-
Crisan D. Particle filters-a theoretical perspective. In: Doucet A., de Freitas N., and Gordon N. (Eds). Sequential Monte Carlo Methods in Practice (2001), Springer-Verlag, New York 17-41
-
(2001)
Sequential Monte Carlo Methods in Practice
, pp. 17-41
-
-
Crisan, D.1
-
3
-
-
0036504051
-
A survey of convergence results on particle filtering methods for practitioners
-
Crisan D., and Doucet A. A survey of convergence results on particle filtering methods for practitioners. IEEE Trans. Signal Process. 50 (2002) 736-746
-
(2002)
IEEE Trans. Signal Process.
, vol.50
, pp. 736-746
-
-
Crisan, D.1
Doucet, A.2
-
4
-
-
0036900791
-
On the convergence of the Monte Carlo maximum likelihood method for latent variable models
-
Cappé O., Douc R., Moulines É., and Robert C. On the convergence of the Monte Carlo maximum likelihood method for latent variable models. Scand. J. Statist. 29 (2002) 615-635
-
(2002)
Scand. J. Statist.
, vol.29
, pp. 615-635
-
-
Cappé, O.1
Douc, R.2
Moulines, É.3
Robert, C.4
-
5
-
-
0011716069
-
Markov chain Monte Carlo methods for stochastic volatility models
-
Chib S., Nardari F., and Shephard N. Markov chain Monte Carlo methods for stochastic volatility models. J. Econometrics 108 (2002) 281-316
-
(2002)
J. Econometrics
, vol.108
, pp. 281-316
-
-
Chib, S.1
Nardari, F.2
Shephard, N.3
-
6
-
-
0004053819
-
-
Society for Industrial and Applied Mathematics, Philadelphia
-
Chui C.K. Multivariate Splines (1988), Society for Industrial and Applied Mathematics, Philadelphia
-
(1988)
Multivariate Splines
-
-
Chui, C.K.1
-
7
-
-
0024557590
-
Stochastic models for heterogenous DNA sequences
-
Churchill G.A. Stochastic models for heterogenous DNA sequences. Bull. Math. Biol. 51 (1989) 79-94
-
(1989)
Bull. Math. Biol.
, vol.51
, pp. 79-94
-
-
Churchill, G.A.1
-
9
-
-
0041332886
-
On the stability of interacting processes with applications to filtering and genetic algorithms
-
Del Moral P., and Guionnet A. On the stability of interacting processes with applications to filtering and genetic algorithms. Ann. Inst. H. Poincaré Probab. Statist. 37 (2001) 155-194
-
(2001)
Ann. Inst. H. Poincaré Probab. Statist.
, vol.37
, pp. 155-194
-
-
Del Moral, P.1
Guionnet, A.2
-
10
-
-
0002936641
-
-
Springer-Verlag, Berlin
-
Del Moral P., and Miclo L. Branching and Interacting Particle Systems Approximations of Feynman-Kac Formulae with Applications to Non-Linear Filtering. Lecture Notes in Mathematics vol. 1729 (2000), Springer-Verlag, Berlin
-
(2000)
Lecture Notes in Mathematics
, vol.1729
-
-
Del Moral, P.1
Miclo, L.2
-
11
-
-
0000038252
-
Asymptotics of the maximum likelihood estimator for general hidden Markov models
-
Douc R., and Mathias C. Asymptotics of the maximum likelihood estimator for general hidden Markov models. Bernoulli 7 (2001) 381-420
-
(2001)
Bernoulli
, vol.7
, pp. 381-420
-
-
Douc, R.1
Mathias, C.2
-
12
-
-
21244500381
-
Asymptotic properties of the maximum likelihood estimator in autoregressive models with Markov regime
-
Douc R., Moulines É., and Rydén T. Asymptotic properties of the maximum likelihood estimator in autoregressive models with Markov regime. Ann. Statist. 32 (2004) 2254-2304
-
(2004)
Ann. Statist.
, vol.32
, pp. 2254-2304
-
-
Douc, R.1
Moulines, É.2
Rydén, T.3
-
13
-
-
0008802221
-
An introduction to sequential Monte Carlo methods
-
Doucet A., de Freitas N., and Gordon N. (Eds), Springer-Verlag, New York
-
Doucet A., de Freitas N., and Gordon N. An introduction to sequential Monte Carlo methods. In: Doucet A., de Freitas N., and Gordon N. (Eds). Sequential Monte Carlo Methods in Practice (2001), Springer-Verlag, New York 3-14
-
(2001)
Sequential Monte Carlo Methods in Practice
, pp. 3-14
-
-
Doucet, A.1
de Freitas, N.2
Gordon, N.3
-
15
-
-
0001460136
-
On sequential Monte-Carlo sampling methods for Bayesian filtering
-
Doucet A., Godsill S., and Andrieu C. On sequential Monte-Carlo sampling methods for Bayesian filtering. Stat. Comput. 10 (2000) 197-208
-
(2000)
Stat. Comput.
, vol.10
, pp. 197-208
-
-
Doucet, A.1
Godsill, S.2
Andrieu, C.3
-
17
-
-
0004694060
-
Approximating and maximizing the likelihood for a general state space model
-
Doucet A., de Freitas N., and Gordon N. (Eds), Springer-Verlag, New York
-
Hürzeler M., and Künsch H. Approximating and maximizing the likelihood for a general state space model. In: Doucet A., de Freitas N., and Gordon N. (Eds). Sequential Monte Carlo Methods in Practice (2001), Springer-Verlag, New York 159-175
-
(2001)
Sequential Monte Carlo Methods in Practice
, pp. 159-175
-
-
Hürzeler, M.1
Künsch, H.2
-
18
-
-
0026206264
-
Hidden Markov models for speech recognition
-
Juang B.H., and Rabiner L.R. Hidden Markov models for speech recognition. Technometrics 33 (1991) 251-272
-
(1991)
Technometrics
, vol.33
, pp. 251-272
-
-
Juang, B.H.1
Rabiner, L.R.2
-
19
-
-
0001387339
-
State space and hidden Markov models
-
Barndorff-Nielsen O.E., Cox D.R., and Klüppelberg C. (Eds), Chapman and Hall, Boca Raton
-
Künsch H. State space and hidden Markov models. In: Barndorff-Nielsen O.E., Cox D.R., and Klüppelberg C. (Eds). Complex Stochastic Systems (2001), Chapman and Hall, Boca Raton 109-173
-
(2001)
Complex Stochastic Systems
, pp. 109-173
-
-
Künsch, H.1
-
20
-
-
0033889380
-
Exponential and geometric ergodicity in hidden Markov models
-
Le Gland F., and Mevel L. Exponential and geometric ergodicity in hidden Markov models. Math. Control Signals Systems 13 (2000) 63-93
-
(2000)
Math. Control Signals Systems
, vol.13
, pp. 63-93
-
-
Le Gland, F.1
Mevel, L.2
-
21
-
-
0001572082
-
Maximum likelihood estimation for hidden Markov models
-
Leroux B.G. Maximum likelihood estimation for hidden Markov models. Stochastic Process. Appl. 40 (1992) 127-143
-
(1992)
Stochastic Process. Appl.
, vol.40
, pp. 127-143
-
-
Leroux, B.G.1
-
23
-
-
84950943371
-
Blind deconvolution via sequential imputations
-
Liu J., and Chen R. Blind deconvolution via sequential imputations. J. Amer. Statist. Assoc. 430 (1995) 567-576
-
(1995)
J. Amer. Statist. Assoc.
, vol.430
, pp. 567-576
-
-
Liu, J.1
Chen, R.2
-
24
-
-
0001044972
-
Finding the observed information matrix when using the EM algorithm
-
Louis T.A. Finding the observed information matrix when using the EM algorithm. J. Roy. Statist. Soc. B 44 (1982) 226-233
-
(1982)
J. Roy. Statist. Soc. B
, vol.44
, pp. 226-233
-
-
Louis, T.A.1
-
25
-
-
0001567490
-
Local spline approximation methods
-
Lyche T., and Schumaker L.L. Local spline approximation methods. J. Approx. Theory 15 (1975) 294-325
-
(1975)
J. Approx. Theory
, vol.15
, pp. 294-325
-
-
Lyche, T.1
Schumaker, L.L.2
-
27
-
-
39149127260
-
-
J. Olsson, O. Cappé, R. Douc, É. Moulines, Sequential Monte Carlo smoothing with application to parameter estimation in non-linear state space models, Technical Report, Lund University, 2006, eprint arXiv:math.ST/0609514
-
J. Olsson, O. Cappé, R. Douc, É. Moulines, Sequential Monte Carlo smoothing with application to parameter estimation in non-linear state space models, Technical Report, Lund University, 2006, eprint arXiv:math.ST/0609514
-
-
-
-
29
-
-
39149109883
-
-
M.K. Pitt, Smooth particle filters for likelihood evaluation and maximization, Technical Report 651, Dept. Economics, Univ. Warwick, 2002
-
M.K. Pitt, Smooth particle filters for likelihood evaluation and maximization, Technical Report 651, Dept. Economics, Univ. Warwick, 2002
-
-
-
-
32
-
-
0000167944
-
Note on the consistency of the maximum likelihood estimate
-
Wald A. Note on the consistency of the maximum likelihood estimate. Ann. Math. Statist. 20 (1949) 394-407
-
(1949)
Ann. Math. Statist.
, vol.20
, pp. 394-407
-
-
Wald, A.1
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