Maximum likelihood estimation via the ECM algorithm: A general framework
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Genetic architecture of local adaptation in lunar and diurnal emergence times of the marine midge Clunio marinus (Chironomidae, Diptera)Semiparametric Relative-risk Regression for Infectious Disease Transmission Data.Robust demographic inference from genomic and SNP dataRecursive expectation-maximization clustering: a method for identifying buffering mechanisms composed of phenomic modules.A penalized EM algorithm incorporating missing data mechanism for Gaussian parameter estimationMultivariate t nonlinear mixed-effects models for multi-outcome longitudinal data with missing values.Some Statistical Strategies for DAE-seq Data Analysis: Variable Selection and Modeling Dependencies among Observations.Normalization of metabolomics data with applications to correlation maps.Maximum likelihood analysis of a general latent variable model with hierarchically mixed data.A semiparametric mixture model for analyzing clustered competing risks data.Mixture models for analyzing product reliability data: a case study.Extending multivariate-t linear mixed models for multiple longitudinal data with censored responses and heavy tails.Data-adaptive Shrinkage via the Hyperpenalized EM Algorithm.An empirical Bayes method for genotyping and SNP detection using multi-sample next-generation sequencing data.Variable selection for model-based high-dimensional clustering and its application to microarray data.Joint modeling of longitudinal and survival data via a common frailty.A frailty-model-based approach to estimating the age-dependent penetrance function of candidate genes using population-based case-control study designs: an application to data on the BRCA1 gene.Comparison of several imputation methods for missing baseline data in propensity scores analysis of binary outcome.A review of multivariate longitudinal data analysis.Pattern Recognition of Longitudinal Trial Data with Nonignorable Missingness: An Empirical Case Study.Missing exposure data in stereotype regression model: application to matched case-control study with disease subclassification.Estimation of the linear mixed integrated Ornstein-Uhlenbeck model.High-dimensional variable selection in meta-analysis for censored data.Dynamic linear model for the identification of miRNAs in next-generation sequencing data.Methods to infer transmission risk factors in complex outbreak data.An improved genetic model generates high-resolution mapping of QTL for protein quality in maize endospermNonparametric modeling of longitudinal covariance structure in functional mapping of quantitative trait loci.Fixed and random effects selection in mixed effects models.A quasi-Newton acceleration for high-dimensional optimization algorithms.A latent factor linear mixed model for high-dimensional longitudinal data analysisPowerful haplotype-based Hardy-Weinberg equilibrium tests for tightly linked loci.Flexible mixture modeling via the multivariate t distribution with the Box-Cox transformation: an alternative to the skew-t distributionInclusive Composite Interval Mapping of QTL by Environment Interactions in Biparental PopulationsPosterior predictive checks to quantify lack-of-fit in admixture models of latent population structure.Variable selection in the cox regression model with covariates missing at random.Extracting Low-Dimensional Latent Structure from Time Series in the Presence of DelaysEstimation of adjusted rate differences using additive negative binomial regression.iTAR: a web server for identifying target genes of transcription factors using ChIP-seq or ChIP-chip data.Separating Timing, Movement Conditions and Individual Differences in the Analysis of Human Movement.Genetic Analysis and QTL Mapping of Fruit Peduncle Length in Cucumber (Cucumis sativus L.).
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Maximum likelihood estimation via the ECM algorithm: A general framework
description
im Januar 1993 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в 1993
@uk
name
Maximum likelihood estimation via the ECM algorithm: A general framework
@en
Maximum likelihood estimation via the ECM algorithm: A general framework
@nl
type
label
Maximum likelihood estimation via the ECM algorithm: A general framework
@en
Maximum likelihood estimation via the ECM algorithm: A general framework
@nl
prefLabel
Maximum likelihood estimation via the ECM algorithm: A general framework
@en
Maximum likelihood estimation via the ECM algorithm: A general framework
@nl
P356
P1433
P1476
Maximum likelihood estimation via the ECM algorithm: A general framework
@en
P2093
DONALD B. RUBIN
XIAO-LI MENG
P304
P356
10.1093/BIOMET/80.2.267
P407
P577
1993-01-01T00:00:00Z