A review of reliable maximum likelihood algorithms for semiparametric mixture models
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Publication:1901749
DOI10.1016/0378-3758(94)00119-GzbMath0832.62026OpenAlexW1997071161MaRDI QIDQ1901749
Publication date: 27 February 1996
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0378-3758(94)00119-g
software packagesgradient functionmaximum likelihood estimatorsmixture densityoptimization algorithmsemiparametric mixture modelsarea overestimationunobserved population heterogeneityvertex direction methods
Nonparametric estimation (62G05) Point estimation (62F10) Probabilistic methods, stochastic differential equations (65C99)
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Uses Software
Cites Work
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- Linear Logistic Latent Class Analysis
- Monotonicity of quadratic-approximation algorithms
- The geometry of mixture likelihoods, part II: The exponential family
- On the convergence properties of the EM algorithm
- Convergence of Simar's algorithm for finding the maximum likelihood estimate of a compound Poisson process
- Numerical estimation of a probability measure
- Efficiency of the conditional score in a mixture setting
- Another interpretation of the EM algorithm for mixture distributions
- A vertex-exchange-method in D-optimal design theory
- Moment inequalities via optimal design theory
- Convergent design sequences, for sufficiently regular optimality criteria, II: Singular case
- Mixtures of exponential distributions
- Convergent design sequences, for sufficiently regular optimality criteria
- A convergence theorem in L-optimal design theory
- Maximum likelihood estimation of a compound Poisson process
- Some algorithmic aspects of the theory of optimal designs
- The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family
- Sequences converging to D-optimal designs of experiments
- The Equivalence of Two Extremum Problems
- A duality theorem with applications to statistics
- Mixture Densities, Maximum Likelihood and the EM Algorithm
- A projected lagrangian algorithm for semi-infinite programming
- A remark on the numerical estimation of probabilities
- Algorithm AS 221: Maximum Likelihood Estimation of a Mixing Distribution
- Likelihood inference for mixtures: Geometrical and other constructions of monotone step-length algorithms
- Geometric approaches to design of experiment
- Mixture Models, Outliers, and the EM Algorithm
- Numerical techniques for estimating probabilities
- Empirical bayes estimates using the nonparametric maximum likelihood estimate for the priort
- Residual Diagnostics for Mixture Models
- An Algorithm for Computing the Nonparametric MLE of a Mixing Distribution
- Optimal design: Some geometrical aspects of D-optimality
- On the Sequential Construction of D-Optimal Designs
- Equivalence Theorems and Cutting Plane Algorithms for a Class of Experimental Design Problems
- An algorithm for optimal designs on a design space
- Nonparametric Maximum Likelihood Estimation of a Mixing Distribution
- Some iterative procedures for generating nonsingular optimal designs
- Uniqueness of estimation and identifiability in mixture models
- Conjugate Gradient Acceleration of the EM Algorithm
- Optimal and Efficient Designs of Experiments
- A geometric approach to optimal design theory