Results 161 to 170 of about 698,809 (305)
Feature selection and prediction with a Markov blanket structure learning algorithm [PDF]
BMC Bioinformatics, 2013 Tan Y, Liu Z.
europepmc +1 more source
Potential for Blanket Related Investigations in Riga
Potential for blanket related investigations in ...
Kravalis, Kalvis, Platacis, Ernests
core
Business Strategy and the Environment, EarlyView.ABSTRACT Circular battery strategies have become of major interest focusing on material availability while increasing economic and environmental benefits. In this context of circular economy, one main challenge for automotive original equipment manufacturers is that the most profitable handling strategy along the lifecycle is unknown.
Michael Lieder +2 more
wiley +1 more source
Antimicrobial Peptides and Peptidomimetics in Foods – A Synthetic Foray
ChemFoodChem, EarlyView.This Review discusses AMPs in foods and their syntheses. It espouses facile methods to make them accessible and suggests their utility in the mitigation and eradication of the burgeoning maladies of antimicrobial and multidrug resistance (AMR and MDR).
Josephat U. Izunobi +2 more
wiley +1 more source
F.: PCX: Markov blanket classification for large data sets with few cases
, 2004 Data sets with many discrete variables and relatively few cases arise in many domains. Several studies have sought to identify the Markov Blanket (MB) of a target variable by filtering variables using statistical decisions for conditional independence ...
Rema Padman +5 more
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Vine copula knockoffs for variable selection in gene expression studies
Canadian Journal of Statistics, EarlyView.Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina +3 more
wiley +1 more source
Canadian Journal of Statistics, EarlyView.Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley +1 more source
Extreme conditional quantile estimation for time series
Canadian Journal of Statistics, EarlyView.Abstract We consider the estimation of an extreme conditional quantile QY(1−p|x0)$$ {Q}_Y\left(1-p|{x}_0\right) $$ for a heavy‐tailed distribution in the case of a strictly stationary time series (Xt,Yt)t∈ℤ$$ {\left({X}_t,{Y}_t\right)}_{t\in \mathbb{Z}} $$. Here, QY(·|x0)$$ {Q}_Y\left(\cdotp |{x}_0\right) $$ denotes the conditional quantile function of
Yuri Goegebeur +2 more
wiley +1 more source
Membrane composition and thermodynamic identity as boundaries of life for synthetic cell research. [PDF]
FEBS LettPresutti C, Poolman B.
europepmc +1 more source
A novel Markov Blanket-based repeated-fishing strategy for capturing phenotype-related biomarkers in big omics data. [PDF]
BMC Genet, 2016 Li H +6 more
europepmc +1 more source