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02/05/2023
Circular and spherical projected Cauchy distributions
Two new distributions are proposed: the circular projected and the spher...
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11/06/2022
Cauchy robust principal component analysis with applications to high-deimensional data sets
Principal component analysis (PCA) is a standard dimensionality reductio...
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11/04/2022
The R-package PNAR for modelling count network time series
We introduce a new R package for analysis and inference of network count...
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08/27/2022
Modelling structural zeros in compositional data via a zero-censored multivariate normal model
We present a new model for analyzing compositional data with structural ...
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11/30/2020
The FEDHC Bayesian network learning algorithm
The paper proposes a new hybrid Bayesian network learning algorithm, ter...
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07/29/2020
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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04/01/2020
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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02/12/2020
The α-k-NN regression for compositional data
Compositional data arise in many real-life applications and versatile me...
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12/29/2018
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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11/29/2018
Gaussian asymptotic limits for the α-transformation in the analysis of compositional data
Compositional data consists of vectors of proportions whose components s...
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06/28/2018
Extremely efficient permutation and bootstrap hypothesis tests using R
Re-sampling based statistical tests are known to be computationally heav...
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02/20/2018
A folded model for compositional data analysis
A folded type model is developed for analyzing compositional data. The p...
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11/10/2016