Results 11 to 20 of about 1,513,668 (313)
Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation [PDF]
, 2011 Generalized linear mixed models are a widely used tool for modeling longitudinal data. However, their use is typically restricted to few covariates, because the presence of many predictors yields unstable estimates.
Groll, Andreas
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Flexible semiparametric mixed models [PDF]
, 2005 In linear mixed models the influence of covariates is restricted to a strictly parametric form. With the rise of semi- and nonparametric regression also the mixed model has been expanded to allow for additive predictors.
Reithinger, Florian, Tutz, Gerhard
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Models of the quark mixing matrix [PDF]
Physical Review D, 1992 Presented by Mihir P. Worah at DPF 92 Meeting, Fermilab, November, 1992.
Rosner, Jonathan L., Worah, Mihir P.
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Stability and adaptability of curled green-leaf lettuce lines using the REML/Blup mixed model [PDF]
Pesquisa Agropecuária Brasileira, 2018 : The objective of this work was to estimate the stability and genotypic adaptability of advanced lines and cultivars of curled green-leaf lettuce (Lactuca sativa), in different growing environments and seasons, using the REML/Blup mixed model.
Willame dos Santos Candido +6 more
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Stem Cell Reports, 2017 Both the promises and pitfalls of the cell reprogramming research platform rest on human genetic variation, making the measurement of its impact one of the most urgent issues in the field.
Pierre-Luc Germain, Giuseppe Testa
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R-environment package for regression analysis [PDF]
Pesquisa Agropecuária Brasileira, 2018 : The objective of this work was to develop a package in the R environment for automating and facilitating the regression analysis. Named easyreg, the package offers five functions.
Emmanuel Arnhold
doaj +1 more source
Proceedings of the National Academy of Sciences, 2003 Markov random fields can encode complex probabilistic relationships involving multiple variables and admit efficient procedures for probabilistic inference. However, from a knowledge engineering point of view, these models suffer from a serious limitation.
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Mixed-Domain Modeling in Modelica [PDF]
, 2006 Modelica is a language for convenient, component oriented modeling of physical systems. In this article, an overview of the language, available libraries, the Dymola simulator and some industrial applications is given. Additionally, a comparison of Modelica with VHDL-AMS is presented.
Clauss, Christoph +4 more
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Four ways in which data-free papers on animal personality fail to be impactful
Frontiers in Ecology and Evolution, 2015 The literature on animal personality is dominated by papers lacking any data. These papers, which we will call ‘data-free’ papers, are cited and recognized twice as much as comparable empirical studies. In this data-free paper, we highlight 4 common data-
Nicholas eDiRienzo +1 more
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