Results 21 to 30 of about 3,863,679 (333)
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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Selection and Estimation for Mixed Graphical Models [PDF]
, 2014 We consider the problem of estimating the parameters in a pairwise graphical model in which the distribution of each node, conditioned on the others, may have a different parametric form. In particular, we assume that each node's conditional distribution
Chen, Shizhe +2 more
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The Parisi formula for mixed $p$-spin models [PDF]
, 2014 The Parisi formula for the free energy in the Sherrington-Kirkpatrick and mixed $p$-spin models for even $p\geq2$ was proved in the seminal work of Michel Talagrand [Ann. of Math. (2) 163 (2006) 221-263].
Panchenko, Dmitry
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Meta-analysis of Proportions Using Generalized Linear Mixed Models
Epidemiology, 2020 Supplemental Digital Content is available in the text. Epidemiologic research often involves meta-analyses of proportions. Conventional two-step methods first transform each study’s proportion and subsequently perform a meta-analysis on the transformed ...
Lifeng Lin, H. Chu
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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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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
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MCMC methods for multi-response generalized linear mixed models
, 2010 Generalized linear mixed models provide a flexible framework for modeling a range of data, although with non-Gaussian response variables the likelihood cannot be obtained in closed form.
J. Hadfield
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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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Cluster Correlation in Mixed Models [PDF]
, 2000 We evaluate the dependence of the cluster correlation length r_c on the mean intercluster separation D_c, for three models with critical matter density, vanishing vacuum energy (Lambda = 0) and COBE normalized: a tilted CDM (tCDM) model (n=0.8) and two ...
A. Gardini +16 more
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BMC Bioinformatics, 2020 Microbiome/metagenomic data have specific characteristics, including varying total sequence reads, over-dispersion, and zero-inflation, which require tailored analytic tools.
Xinyan Zhang, N. Yi
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