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检索条件"主题词=em algorithm"
4573 条 记 录,以下是181-190 订阅
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STATISTICAL GUARANTEES FOR THE em algorithm: FROM POPULATION TO SAMPLE-BASED ANALYSIS
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ANNALS OF STATISTICS 2017年 第1期45卷 77-120页
作者: Balakrishnan, Sivaraman Wainwrightt, Martin J. Yu, Bin Univ Calif Berkeley Dept Stat Berkeley CA 94720 USA Carnegie Mellon Univ Dept Stat Pittsburgh PA 15213 USA
The em algorithm is a widely used tool in maximum-likelihood estimation in incomplete data problems. Existing theoretical work has focused on conditions under which the iterates or likelihood values converge, and the ... 详细信息
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Combining a relaxed em algorithm with Occam's razor for Bayesian variable selection in high-dimensional regression
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JOURNAL OF MULTIVARIATE ANALYSIS 2016年 146卷 177-190页
作者: Latouche, Pierre Mattei, Pierre-Alexandre Bouveyron, Charles Chiquet, Julien Univ Paris 01 Lab SAMM EA 4543 F-75231 Paris 05 France Univ Paris 05 Lab MAP5 UMR CNRS 8145 Paris France USC INRA UMR CNRS 8071 UEVE Lab LaMME Evry France
We address the problem of Bayesian variable selection for high-dimensional linear regression. We consider a generative model that uses a spike-and-slab-like prior distribution obtained by multiplying a deterministic b... 详细信息
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Clustering in linear mixed models with approximate Dirichlet process mixtures using em algorithm
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STATISTICAL MODELLING 2013年 第1期13卷 41-67页
作者: Heinzl, Felix Tutz, Gerhard Univ Munich Dept Stat Munich Germany
In linear mixed models, the assumption of normally distributed random effects is often inappropriate and unnecessarily restrictive. The proposed approximate Dirichlet process mixture assumes a hierarchical Gaussian mi... 详细信息
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Parabolic acceleration of the em algorithm
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STATISTICS AND COMPUTING 2009年 第1期19卷 35-47页
作者: Berlinet, A. Roland, C. Univ Sci & Technol Lille UFR Math Pures & Appl Lab Paul Painleve F-59655 Villeneuve Dascq France Univ Montpellier 2 Equipe Probabilites & Stat Inst Math & Modelisat Montpellier UMR CNRS 5149 F-34095 Montpellier 5 France
A new acceleration scheme for optimization procedures is defined through geometric considerations and applied to the em algorithm. In many cases it is able to circumvent the problem of stagnation. No modification of t... 详细信息
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empirical Bayes spatial prediction using a Monte Carlo em algorithm
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STATISTICAL METHODS AND APPLICATIONS 2009年 第1期18卷 35-47页
作者: Khaledi, Majid Jafari Rivaz, Firoozeh Tarbiat Modares Univ Dept Stat Tehran Iran
This paper deals with an empirical Bayes approach for spatial prediction of a Gaussian random field. In fact, we estimate the hyperparameters of the prior distribution by using the maximum likelihood method. In order ... 详细信息
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MODIFICATIONS OF THE em algorithm FOR SURVIVAL INFLUENCED BY AN UNOBSERVED STOCHASTIC-PROCESS
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STOCHASTIC PROCESSES AND THEIR APPLICATIONS 1994年 第2期54卷 257-274页
作者: YASHIN, AI MANTON, KG DUKE UNIV CTR DEMOG STUDIESDURHAMNC 27708
Let Y=(Y-t)(t greater than or equal to 0) be an unobserved random process which influences the distribution of a random variable T which can be interpreted as the time to failure. When a conditional hazard rate corres... 详细信息
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ML ESTIMATION IN THE POISSON BINOMIAL-DISTRIBUTION WITH GROUPED DATA VIA THE em algorithm
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JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 1993年 第1-2期45卷 33-39页
作者: ADAMIDIS, K LOUKAS, S Department of Mathematics University of Ioannina 45110 loannina Greece
The maximum likelihood estimation of parameters of the Poisson binomial distribution, based on a sample with exact and grouped observations, is considered by applying the em algorithm (Dempster et al., 1977). The resu... 详细信息
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A note on multinomial maximum likelihood estimation under ordered restrictions and the em algorithm
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METRIKA 2007年 第1期66卷 105-114页
作者: Li, Yuling Gao, Wei Shi, Ning-Zhong NE Normal Univ Sch Math & Stat Key Lab Appl Stat MOE Changchun 130024 Jilin Peoples R China Beijing Normal Univ Int Finance Coll Zhuhai 51905 Guangdong Peoples R China
A frequently occurring problem is to find the maximum likelihood estimation (MLE) of p subject to p is an element of C (C subset of P the probability vectors in R-k). The problem has been discussed by many authors and... 详细信息
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Properties of the stochastic approximation em algorithm with mini-batch sampling
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STATISTICS AND COMPUTING 2020年 第6期30卷 1725-1739页
作者: Kuhn, Estelle Matias, Catherine Rebafka, Tabea Univ Paris Saclay MaIAGE INRAE Jouy En Josas France Univ Paris Sorbonne Univ CNRS Lab Probabil Stat & Modelisat LPSM Paris France
To deal with very large datasets a mini-batch version of the Monte Carlo Markov Chain Stochastic Approximation Expectation-Maximization algorithm for general latent variable models is proposed. For exponential models ... 详细信息
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An em algorithm for smoothing the self-consistent estimator of survival functions with interval-censored data
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SCANDINAVIAN JOURNAL OF STATISTICS 1997年 第4期24卷 531-542页
作者: Li, LX Watkins, T Yu, QQ Univ New Orleans Dept Math New Orleans LA 70148 USA SUNY Binghamton Binghamton NY 13902 USA
Interval-censored data arise in a wide variety of application and research areas such as, for example, AIDS studies (Kim et al., 1993) and cancer research (Finkelstein, 1986;Becker & Melbye, 1991). Peto (1973) pro... 详细信息
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