
The FEDHC Bayesian network learning algorithm
The paper proposes a new hybrid Bayesian network learning algorithm, ter...
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Are NBA players getting paid according to their performance on court?
It is customary for researchers and practitioners to fit linear models i...
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A generalised OMP algorithm for feature selection with application to gene expression data
Feature selection for predictive analytics is the problem of identifying...
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The αkNN regression for compositional data
Compositional data arise in many reallife applications and versatile me...
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Hypothesis testing procedures for two sample means with applications to gene expression data
In Bioinformatics, the number of available variables for a few tens of s...
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Gaussian asymptotic limits for the αtransformation in the analysis of compositional data
Compositional data consists of vectors of proportions whose components s...
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Extremely efficient permutation and bootstrap hypothesis tests using R
Resampling based statistical tests are known to be computationally heav...
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A folded model for compositional data analysis
A folded type model is developed for analyzing compositional data. The p...
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Feature Selection with the R Package MXM: Discovering StatisticallyEquivalent Feature Subsets
The statistically equivalent signature (SES) algorithm is a method for f...
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Michail Tsagris
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