Results 101 to 110 of about 4,430,595 (297)
Pseudo Bayesian Estimation of One-way ANOVA Model in Complex Surveys
, 2020 We devise survey-weighted pseudo posterior distribution estimators under 2-stage informative sampling of both primary clusters and secondary nested units for a one-way ANOVA population generating model as a simple canonical case where population model ...
Savitsky, Terrance D. +1 more
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On Bayesian Asymptotics in Stochastic Differential Equations with Random Effects [PDF]
, 2016 Delattre et al. (2013) investigated asymptotic properties of the maximum likelihood estimator of the population parameters of the random effects associated with n independent stochastic differential equations (SDEs) assuming that the SDEs are independent
Bhattacharya, Sourabh, Maitra, Trisha
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Molecular Oncology, EarlyView.Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +5 more
wiley +1 more source
Bayesian views of generalized additive modelling
Methods in Ecology and EvolutionGeneralized additive models (GAMs) are a frequently used, flexible framework applied to many problems in statistical ecology. They are commonly used to incorporate smooth effects into models via splines, including spatial components in species ...
David L. Miller
doaj +1 more source
Bayesian Hierarchical Random Effects Models in Forensic Science
Frontiers in Genetics, 2018 Statistical modeling of the evaluation of evidence with the use of the likelihood ratio has a long history. It dates from the Dreyfus case at the end of the nineteenth century through the work at Bletchley Park in the Second World War to the present day.
Colin G. G. Aitken
doaj +1 more source
Profiled deviance for the multivariate linear mixed-effects model fitting
, 2017 This paper focuses on the multivariate linear mixed-effects model, including all the correlations between the random effects when the marginal residual terms are assumed uncorrelated and homoscedastic with possibly different standard deviations.
Adjakossa, Eric, Nuel, Grégory
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Molecular Oncology, EarlyView.This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns +10 more
wiley +1 more source
Acta Commercii, 2019 Orientation: This article investigates the relationship between entrepreneurial activities and the business cycle for selected countries in Southern African Development Community (SADC).
Harris Maduku
doaj +1 more source
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
, 2019 On the premise that sound ecological decision depends on sound ecological description, this essay takes the contrast between randomness and design as the provocation for a redescription of the human ecological situation. In phenomenological terms, it argues, our ecological condition includes the randomness effect, namely that something appears “random”
openaire +2 more sources