-
1
-
-
0003962285
-
-
Baltimore, MD: Johns Hopkins University Press
-
Bickel, P.J., Klaassen, C.A.J., Ritov, Y. and Wellner, J.A. (1993) Efficient and Adaptive Estimation for Semiparametric Models. Baltimore, MD: Johns Hopkins University Press.
-
(1993)
Efficient and Adaptive Estimation for Semiparametric Models
-
-
Bickel, P.J.1
Klaassen, C.A.J.2
Ritov, Y.3
Wellner, J.A.4
-
3
-
-
0043096621
-
Convergence assessment techniques for Markov Chain Monte Carlo
-
Brooks, S.P. and Roberts, G.O. (1998) Convergence assessment techniques for Markov Chain Monte Carlo. Statist. Comput., 8, 319-335.
-
(1998)
Statist. Comput.
, vol.8
, pp. 319-335
-
-
Brooks, S.P.1
Roberts, G.O.2
-
4
-
-
0002241694
-
The SEM algorithm: A probabilistic teacher algorithm derived from the em algorithm for the mixture problem
-
Celeux, G. and Diebolt, J. (1986) The SEM algorithm: A probabilistic teacher algorithm derived from the EM algorithm for the mixture problem. Comput. Statist. Quart., 2, 73-82.
-
(1986)
Comput. Statist. Quart.
, vol.2
, pp. 73-82
-
-
Celeux, G.1
Diebolt, J.2
-
5
-
-
0344601483
-
Asymptotic properties of a stochastic em algorithm for estimating mixing proportions
-
Celeux, G. and Diebolt, J. (1993) Asymptotic properties of a stochastic EM algorithm for estimating mixing proportions. Comm. Statist. Stochastic Models, 9, 599-613.
-
(1993)
Comm. Statist. Stochastic Models
, vol.9
, pp. 599-613
-
-
Celeux, G.1
Diebolt, J.2
-
6
-
-
0030376179
-
Stochastic versions of the em algorithm: An experimental study in the mixture case
-
Celeux, G., Chauveau, D. and Diebolt, J. (1996) Stochastic versions of the EM algorithm: An experimental study in the mixture case. J. Statist. Comput. Simulation, 55, 287-314.
-
(1996)
J. Statist. Comput. Simulation
, vol.55
, pp. 287-314
-
-
Celeux, G.1
Chauveau, D.2
Diebolt, J.3
-
7
-
-
21844487061
-
Monte Carlo em estimation for time series models involving counts
-
Chan, K.S. and Ledolter, J. (1995) Monte Carlo EM estimation for time series models involving counts. J. Amer. Statist. Assoc., 90, 242-252.
-
(1995)
J. Amer. Statist. Assoc.
, vol.90
, pp. 242-252
-
-
Chan, K.S.1
Ledolter, J.2
-
8
-
-
0002629270
-
Maximum likelihood estimation from incomplete data via the em algorithm (with discussion)
-
Dempster A.P., Laird N.M. and Rubin D.B. (1977) Maximum likelihood estimation from incomplete data via the EM algorithm (with discussion). J. Roy. Statist. Soc. Ser. B, 39, 1-38.
-
(1977)
J. Roy. Statist. Soc. Ser. B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
9
-
-
0002241603
-
Stochastic EM: Method and application
-
W.R. Gilks, S. Richardson, D.J. Speigelhalter (eds), London: Chapman & Hall
-
Diebolt, J. and Ip, E.H.S. (1996) Stochastic EM: method and application. In W.R. Gilks, S. Richardson, D.J. Speigelhalter (eds), Markov Chain Monte Carlo in Practice. London: Chapman & Hall.
-
(1996)
Markov Chain Monte Carlo in Practice
-
-
Diebolt, J.1
Ip, E.H.S.2
-
11
-
-
84972492387
-
Inference from iterative simulation using multiple sequences (with discussion)
-
Gelman, A. and Rubin, D.B. (1992) Inference from iterative simulation using multiple sequences (with discussion). Statist. Sci. 7, 457-511.
-
(1992)
Statist. Sci.
, vol.7
, pp. 457-511
-
-
Gelman, A.1
Rubin, D.B.2
-
16
-
-
0001044972
-
Finding the observed information matrix when using the em algorithm
-
Louis, T.A. (1982) Finding the observed information matrix when using the EM algorithm. J. R. Statist. Soc. Ser. B, 44, 226-233.
-
(1982)
J. R. Statist. Soc. Ser. B
, vol.44
, pp. 226-233
-
-
Louis, T.A.1
-
17
-
-
84864615423
-
Using em to obtain asymptotic variance-covariance matrices: The SEM algorithm
-
Meng, X.-L. and Rubin, D.B. (1991) Using EM to obtain asymptotic variance-covariance matrices: The SEM algorithm. J. Amer. Statist. Assoc., 86, 899-909.
-
(1991)
J. Amer. Statist. Assoc.
, vol.86
, pp. 899-909
-
-
Meng, X.-L.1
Rubin, D.B.2
-
19
-
-
0000759236
-
How many iterations in the Gibbs sampler?
-
J.M. Bernardo, J.O. Berger, A.P. Dawid and A.F.M. Smith (eds), Oxford: Oxford University Press
-
Raftery, A.E. and Lewis, S.M. (1992) How many iterations in the Gibbs sampler?. In J.M. Bernardo, J.O. Berger, A.P. Dawid and A.F.M. Smith (eds), Bayesian Statistics, Vol. 4. Oxford: Oxford University Press.
-
(1992)
Bayesian Statistics
, vol.4
-
-
Raftery, A.E.1
Lewis, S.M.2
-
21
-
-
0000672899
-
Extensions of estimation methods using the em algorithm
-
Ruud, P.A. (1991) Extensions of estimation methods using the EM algorithm. J Econometrics, 49, 305-341.
-
(1991)
J Econometrics
, vol.49
, pp. 305-341
-
-
Ruud, P.A.1
-
22
-
-
0007071163
-
Asymptotic results for multiple imputation
-
Schenker, N. and Welsh, A.H. (1987) Asymptotic results for multiple imputation. Ann. Statist., 16, 1550-1566.
-
(1987)
Ann. Statist.
, vol.16
, pp. 1550-1566
-
-
Schenker, N.1
Welsh, A.H.2
-
23
-
-
38149143251
-
A note on the construction of asymptotically linear estimators
-
Schick, A. (1987) A note on the construction of asymptotically linear estimators. J. Statist. Plann. Inference, 16, 89-105.
-
(1987)
J. Statist. Plann. Inference
, vol.16
, pp. 89-105
-
-
Schick, A.1
-
24
-
-
0023288784
-
An application of imputation to an estimation problem in grouped lifetime analysis
-
Tanner, M.A. and Wong, W.H. (1987) An application of imputation to an estimation problem in grouped lifetime analysis. Technometrics, 29, 23-32.
-
(1987)
Technometrics
, vol.29
, pp. 23-32
-
-
Tanner, M.A.1
Wong, W.H.2
-
25
-
-
84950432017
-
A Monte Carlo implementation of the em algorithm and the poor man's data augmentation algorithm
-
Wei, G.C.G. and Tanner, M.A. (1990) A Monte Carlo implementation of the EM algorithm and the poor man's data augmentation algorithm. J. Amer. Statist. Assoc., 85, 699-704.
-
(1990)
J. Amer. Statist. Assoc.
, vol.85
, pp. 699-704
-
-
Wei, G.C.G.1
Tanner, M.A.2
|