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The Annals of statistics, ISSN 0090-5364, 08/2005, Volume 33, Issue 4, pp. 1617 - 1642
Journal Article
Statistics & probability letters, ISSN 0167-7152, 03/2019, Volume 146, pp. 97 - 103
We propose a nested em routine which guarantees monotone log-likelihood sequences and improved convergence rates in maximum likelihood estimation of latent... 
Pólya-gamma | em algorithm | Latent class model | Multivariate categorical data | EM algorithm | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology
Journal Article
The Annals of statistics, ISSN 0090-5364, 2/2015, Volume 43, Issue 1, pp. 422 - 461
.... We characterize the set of fixed points of the Expectation-Maximization algorithm, and we study the boundary of the space of matrices with nonnegative rank at most 3... 
Nonnegative rank | Mixture model | Maximum likelihood | Em algorithm | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | 62F10 | mixture model | 13P25 | nonnegative rank | EM algorithm
Journal Article
2008, 2nd ed., Wiley series in probability and statistics, ISBN 9780471201700, 399
The only single-source--now completely updated and revised--to offer a unified treatment of the theory, methodology, and applications of the EM algorithm Complete with updates that capture... 
Missing observations (Statistics) | Expectation-maximization algorithms | Estimation theory
eBook
Journal of statistical software, ISSN 1548-7660, 2017, Volume 80, Issue 3, pp. i03 - 41
The saemix package for R provides maximum likelihood estimates of parameters in nonlinear mixed effect models, using a modern and efficient estimation algorithm, the stochastic approximation expectation-maximisation (SAEM) algorithm... 
Pharmacodynamics | Stochastic approximation EM algorithm | Nonlinear mixed effect models | S4 classes | Orange tree | Pharmacokinetics | Theophylline | Life Sciences | Quantitative Methods | Santé publique et épidémiologie | orange tree | theophylline | pharmacodynamics | pharmacokinetics | stochastic approximation EM algorithm | nonlinear mixed effect models
Journal Article
Computational statistics & data analysis, ISSN 0167-9473, 09/2016, Volume 101, pp. 1 - 11
Journal Article
Computational statistics, ISSN 0943-4062, 10/2012, Volume 28, Issue 4, pp. 1571 - 1597
...$$ -bumps, is also proposed; it is used as an ad hoc initialization strategy in the EM algorithm to obtain the maximum likelihood estimation of the mixture parameters... 
Finite mixtures of densities | Bump hunting | Pearson system | Probability Theory and Stochastic Processes | Economic Theory | Partitional clustering methods | Statistics, general | Statistics | EM algorithm | Probability and Statistics in Computer Science | Studies | Algorithms | Estimating techniques | Parametrization | Mathematical analysis | Tools | Strategy | Density | Beta
Journal Article
Computational statistics & data analysis, ISSN 0167-9473, 03/2019, Volume 131, pp. 159 - 175
Functional data often exhibit both amplitude and phase variation around a common base shape, with phase variation represented by a so called warping function.... 
Stochastic approximation | Functional data | EM algorithm | Curve registration | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology | Analysis | Models | Algorithms
Journal Article
Journal Article
1997, Wiley series in probability and statistics. Applied probability and statistics, ISBN 0471123587, xvii, 274
Book
1994, Ablex series in computational science., ISBN 0893919136, xiii, 192
Book
2010, Chapman & Hall/CRC numerical analysis and scientific computing, ISBN 9781439803677, xxi, 298
Book
Statistics and computing, ISSN 0960-3174, 11/2014, Volume 24, Issue 6, pp. 921 - 940
Journal Article