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Keywords
(1)
Maximum Likelihood Estimate
Related Publications
(20)
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Maximum likelihood estimation via the ECM algorithm: A general framework
Maximum likelihood estimation via the ECM algorithm: A general framework,10.1093/biomet/80.2.267,Biometrika,XIAOLI MENG,DONALD B. RUBIN
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Maximum likelihood estimation via the ECM algorithm: A general framework
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Citations: 387
)
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XIAOLI MENG
,
DONALD B. RUBIN
Journal:
Biometrika
, vol. 80, no. 2, pp. 267278, 1993
DOI:
10.1093/biomet/80.2.267
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biomet.oxfordjournals.org
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Citation Context
(150)
...The AECM algorithm is a variant of the expectationconditional maximization (ECM) algorithm (Meng and Rubin,
1993
) that allows specification of different completedata at each stage...
Michelle A. Steane
,
et al.
ModelBased Classification via Mixtures of Multivariate tFactor Analy...
...The resulting algorithm is a special instance of the expectation conditional maximization (ECM) algorithm (Meng and Rubin
1993
)...
François Caron
,
et al.
Efficient Bayesian Inference for Generalized Bradley–Terry Models
...estimation. For some contingency table models, the ECM algorithm may be used for estimation (
Meng and Rubin 1993
) and variance calculation (van Dyk et al. 1995)...
ShinSoo Kang
,
et al.
Fractional imputation for incomplete twoway contingency tables
...The solution of this maximization can not be obtained in closed form, so that we follow
Meng and Rubin (1993)
and complete the Mstep through a sequence of conditional maximizations...
Genya Kobayashi
,
et al.
Bayesian analysis of quantile regression for censored dynamic panel da...
...Here, this MCM algorithm is a generalization of the expectationconditional maximization (ECM) paradigm of Meng and Rubin
(1993)
...
David R. Hunter
,
et al.
Semiparametric mixtures of regressions
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Citations
(387)
ModelBased Classification via Mixtures of Multivariate tFactor Analyzers
Michelle A. Steane
,
Paul D. McNicholas
,
Rickey Y. Yada
Journal:
Communications in Statisticssimulation and Computation  COMMUN STATISTSIMULAT COMPUT
, vol. 41, no. 4, pp. 510523, 2012
Efficient Bayesian Inference for Generalized Bradley–Terry Models
François Caron
,
Arnaud Doucet
Journal:
Journal of Computational and Graphical Statistics  J COMPUT GRAPH STAT
, vol. 21, no. 1, pp. 174196, 2012
Fractional imputation for incomplete twoway contingency tables
ShinSoo Kang
,
Kenneth J. Koehler
,
Michael D. Larsen
Journal:
Metrika
, pp. 119, 2012
Bayesian analysis of quantile regression for censored dynamic panel data
Genya Kobayashi
,
Hideo Kozumi
Journal:
Computational Statistics  COMPUTATION STAT
, pp. 122, 2012
Improving Item Response Theory Model Calibration by Considering Response Times in Psychological Tests
Jochen Ranger
,
JörgTobias Kuhn
Journal:
Applied Psychological Measurement  APPL PSYCHOL MEAS
, vol. 36, no. 3, pp. 214231, 2012