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Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2016.1228971
Abstract: ABSTRACT Modeling binary familial data has been a challenging task due to the dependence among family members and the constraints imposed on the joint probability distribution of the binary responses. This paper investigates some useful…
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Keywords:
binary familial;
data using;
modeling binary;
familial data ... See more keywords
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Published in 2019 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2020.1840997
Abstract: Abstract We develop a novel Bayesian method to select important predictors in regression models with multiple responses of diverse types. A sparse Gaussian copula regression model is used to account for the multivariate dependencies between…
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Keywords:
regression;
regression models;
bayesian variable;
gaussian copula ... See more keywords
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Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13660
Abstract: Many biomedical studies collect data of mixed types of variables from multiple groups of subjects. Some of these studies aim to find the group-specific and the common variation among all these variables. Even though similar…
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Keywords:
copula model;
mixed gaussian;
variation;
gaussian copula ... See more keywords
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Published in 2020 at "Hacettepe Journal of Mathematics and Statistics"
DOI: 10.15672/hujms.621919
Abstract: In this paper, we present a new method to investigate data of multivariate heavy-tailed distributions. We show that for any given number $\alpha \in (0;2]$, each Gaussian copula is also the copula of an $\alpha$-stable…
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Keywords:
alpha stable;
copula stable;
stable random;
random vectors ... See more keywords
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Published in 2017 at "Journal of Statistical Software"
DOI: 10.18637/jss.v077.i08
Abstract: This article describes the R package gcmr for fitting Gaussian copula marginal regression models. The Gaussian copula provides a mathematically convenient framework to handle various forms of dependence in regression models arising, for example, in…
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Keywords:
package;
copula regression;
gaussian copula;
regression ... See more keywords
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Published in 2021 at "Energies"
DOI: 10.3390/en14092349
Abstract: Deterministic load flow analyses of power grids do not include the uncertain factors that affect the network elements; hence, their predictions can be very unreliable for distribution system operators and for the decision makers who…
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Keywords:
methodology;
gaussian copula;
uncertainty;
power ... See more keywords