Results 31 to 40 of about 18,285 (163)
An Efficient Algorithm for REML in Heteroscedastic Regression [PDF]
Journal of Computational and Graphical Statistics, 2002 This article considers REML (residual or restricted maximum likelihood) estimation for heteroscedastic linear models. An explicit algorithm is given for REML scoring which yields the REML estimates together with their standard errors and likelihood values.
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Fixed and Random Effects Selection by REML and Pathwise Coordinate Optimization [PDF]
Journal of Computational and Graphical Statistics, 2013 We propose a two-stage model selection procedure for the linear mixed-effects models. The procedure consists of two steps: First, penalized restricted log-likelihood is used to select the random effects, and this is done by adopting a Newton-type algorithm.
Bingqing, Lin, Zhen, Pang, Jiming, Jiang
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BMC Medical Research Methodology, 2022 Background Stepped wedge trials are an appealing and potentially powerful cluster randomized trial design. However, they are frequently implemented with a small number of clusters.
Kelsey L. Grantham +4 more
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PLoS ONE, 2013 Estimation of variance components by Monte Carlo (MC) expectation maximization (EM) restricted maximum likelihood (REML) is computationally efficient for large data sets and complex linear mixed effects models.
Kaarina Matilainen +4 more
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Explicit Effects and Effect Constraints in ReML [PDF]
Proceedings of the ACM on Programming LanguagesAn important aspect of building robust systems that execute on dedicated hardware and perhaps in constrained environments is to control and manage the effects performed by program code. We present ReML, a higher-order statically-typed functional language, which allows programmers to be explicit about the effects performed by program code and ...
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Variational Bayesian Parameter Estimation Techniques for the General Linear Model
Frontiers in Neuroscience, 2017 Variational Bayes (VB), variational maximum likelihood (VML), restricted maximum likelihood (ReML), and maximum likelihood (ML) are cornerstone parametric statistical estimation techniques in the analysis of functional neuroimaging data.
Ludger Starke +3 more
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Genotypic selection of advanced potato clones by REML/BLUP [PDF]
Horticultura Brasileira, 2018 ABSTRACT Potato genotypes were evaluated in their performance, according to the genotype values for tuber yield traits. The experiments were carried out in Canoinhas and Pelotas, Brazil, in spring 2014. Eleven advanced clones and two commercial cultivars (Agata and Asterix) (check cultivars) were evaluated.
Silva, Giovani O +3 more
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Stochastic Lanczos estimation of genomic variance components for linear mixed-effects models
BMC Bioinformatics, 2019 Background Linear mixed-effects models (LMM) are a leading method in conducting genome-wide association studies (GWAS) but require residual maximum likelihood (REML) estimation of variance components, which is computationally demanding. Previous work has
Richard Border, Stephen Becker
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Evaluation of Seed Yield Stability of Lentil Genotypes Based on REML/BLUP and Multi-Trait Stability Index (MTSI) [PDF]
پژوهشنامه اصلاح گیاهان زراعیExtended Abstract Background: Lentil is a popular legume crop in the Mediterranean region, widely grown for its nutritious seeds and improving soil fertility.
Payam Pezeshkpour +3 more
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Wald consistency and the method of sieves in REML estimation [PDF]
The Annals of Statistics, 1997 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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