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检索条件"主题词=em algorithm"
4572 条 记 录,以下是201-210 订阅
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Mixed graphical models with missing data and the partial imputation em algorithm
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SCANDINAVIAN JOURNAL OF STATISTICS 2000年 第3期27卷 433-444页
作者: Geng, Z Wan, K Tao, F Peking Univ Dept Probabil & Stat Beijing 100871 Peoples R China
In this paper,ve discuss graphical models for mixed types of continuous and discrete variables with incomplete data. We use a set of hyperedges to represent an observed data pattern. A hyperedge is a set of variables ... 详细信息
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ML ESTIMATION IN THE BIVARIATE POISSON-DISTRIBUTION IN THE PRESENCE OF MISSING VALUES VIA THE em algorithm
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JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 1994年 第3-4期50卷 163-172页
作者: ADAMIDIS, K LOUKAS, S [a]Department of Mathematics University of Ioannina Loannina 45110 Greece
In this paper we study the maximum likelihood estimation of parameters, of the bivariate Poisson distribution, by assuming a sample with a general pattern of missing observations and applying the em algorithm (Dempste... 详细信息
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Analysis of strength distributions of multi-modal failures using the em algorithm
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JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 2006年 第7期76卷 619-636页
作者: Park, Chanseok Padgett, W. J. Clemson Univ Dept Math Sci Clemson SC 29634 USA Univ S Carolina Dept Stat Columbia SC 29208 USA
Analysis of various multi-modal strength distributions are studied by using competing risks models. This multi-modality may arise due to several kinds of flaws in a material. The fracture of a material is controlled b... 详细信息
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An em algorithm for a semiparametric finite mixture model
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JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 2002年 第10期72卷 791-802页
作者: Zhang, B Univ Toledo Dept Math Toledo OH 43606 USA
We propose a semiparametric version of the em algorithm under the semiparametric mixture model introduced by Anderson (1979, Biometrika , 66 , 17-26). It is shown that the sequence of proposed em iterates, irrespectiv... 详细信息
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An em algorithm for estimation of the parameters of the geometric minification INAR model
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JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 2022年 第14期92卷 2941-2955页
作者: Stojanovic, Milena S. Univ Nis Fac Sci & Math Nish Serbia
One of the most important problems that arise when estimating parameters by the maximum likelihood method in INAR models, including minification models, is that the estimates cannot be presented in analytical form, bu... 详细信息
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Maximum likelihood estimation and em algorithm of Copas-like selection model for publication bias correction
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BIOSTATISTICS 2017年 第3期18卷 495-504页
作者: Ning, Jing Chen, Yong Piao, Jin Univ Texas MD Anderson Canc Ctr Dept Biostat Houston TX 77030 USA Univ Penn Dept Biostat & Epidemiol Philadelphia PA 19104 USA Univ Texas Sch Publ Hlth Dept Biostat Houston TX 77030 USA
Publication bias occurs when the published research results are systematically unrepresentative of the population of studies that have been conducted, and is a potential threat to meaningful meta-analysis. The Copas s... 详细信息
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AN em algorithm FOR FITTING A NEW CLASS OF MIXED EXPONENTIAL REGRESSION MODELS WITH VARYING DISPERSION
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ASTIN BULLETIN-THE JOURNAL OF THE INTERNATIONAL ACTUARIAL ASSOCIATION 2020年 第2期50卷 555-583页
作者: Tzougas, George Karlis, Dimitris London Sch Econ & Polit Sci Dept Stat London WC2A 2AE England Athens Univ Econ & Business Dept Stat Athens Greece
Regression modelling involving heavy-tailed response distributions, which have heavier tails than the exponential distribution, has become increasingly popular in many insurance settings including non-life insurance. ... 详细信息
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Semi-blind SIMO flat-fading channel estimation in unknown spatially correlated noise using the em algorithm
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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2004年 第6期52卷 1791-1797页
作者: Dogandzic, A Mo, W Wang, ZD Iowa State Univ Dept Elect & Comp Engn Ames IA 50011 USA
We present a maximum likelihood (ML) method for semi-blind estimation of single-input multi-output (SIMO) flat-fading channels in spatially correlated noise having unknown covariance. An expectation-maximization (em) ... 详细信息
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A graphical illustration of the em algorithm
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AMERICAN STATISTICIAN 1997年 第1期51卷 29-31页
作者: Navidi, W Department of Mathematical and Computer Sciences Colorado School of Mines Golden CO 80401 United States
The em algorithm is a method for producing a sequence of parameter estimates that, under mild regularity conditions, converges to the MLE. The em algorithm is well regarded, in part because of two monotonicity propert... 详细信息
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Improving the em algorithm for mixtures
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STATISTICS AND COMPUTING 1999年 第4期9卷 303-307页
作者: Karlis, D Xekalaki, E Athens Univ Econ & Business Dept Stat Athens 10434 Greece
One of the estimating equations of the Maximum Likelihood Estimation method, for finite mixtures of the one parameter exponential family, is the first moment equation. This can help considerably in reducing the labor ... 详细信息
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