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A Bayesian framework to identify random parameter fields based on the copula theorem and Gaussian fields: Application to polycrystalline materials

Journal of applied mechanics, 2019-12, Vol.86 (12), p.1-15

2019

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Coal resource estimation using Gaussian copula

International journal of coal geology, 2017-04, Vol.175, p.1-9

2017

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Robust estimators and tests for bivariate copulas based on likelihood depth

Computational statistics & data analysis, 2011-09, Vol.55 (9), p.2724-2738

2011

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An image NSCT-HMT model based on copula entropy multivariate Gaussian scale mixtures

Knowledge-based systems, 2020-04, Vol.193, p.105387, Article 105387

2020

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Revisiting Gaussian copulas to handle endogenous regressors

Journal of the Academy of Marketing Science, 2022-01, Vol.50 (1), p.46-66

2022

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Why Ordinal Variables Can (Almost) Always Be Treated as Continuous Variables: Clarifying Assumptions of Robust Continuous and Ordinal Factor Analysis Estimation Methods

Frontiers in education (Lausanne), 2020-10, Vol.5

Robitzsch, Alexander

2020

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On multivariate copula modeling of dependent degradation processes

Computers & industrial engineering, 2021-09, Vol.159, p.107450, Article 107450

2021

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Efficient Bayesian inference for stochastic time-varying copula models

Computational statistics & data analysis, 2012-06, Vol.56 (6), p.1511-1527

2012

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Partial correlation with copula modeling

Computational statistics & data analysis, 2011-03, Vol.55 (3), p.1357-1366

2011

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Gaussian Copula Mixed Models for Clustered Mixed Outcomes, With Application in Developmental Toxicology

Journal of agricultural, biological, and environmental statistics, 2014-03, Vol.19 (1), p.39-56

2014

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Asymptotics of empirical copula processes under non-restrictive smoothness assumptions

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2012-08, Vol.18 (3), p.764-782

SEGERS, JOHAN

2012

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High dimensional semiparametric latent graphical model for mixed data

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2017-03, Vol.79 (2), p.405-421

2017

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Modified Gaussian pseudo-copula: Applications in insurance and finance

Insurance, mathematics & economics, 2013-07, Vol.53 (1), p.292-301

2013

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Perbandingan Analisis Regresi Linear dengan Analisis Regresi Copula pada Data Keuangan

Jambura journal of mathematics, 2022-06, Vol.4 (2), p.209-219

2022

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Estimating discrete Markov models from various incomplete data schemes

Computational statistics & data analysis, 2012-09, Vol.56 (9), p.2609-2625

2012

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Estimation and inference for dependence in multivariate data

Journal of multivariate analysis, 2010-04, Vol.101 (4), p.869-881

2010

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BDgraph : An R Package for Bayesian Structure Learning in Graphical Models

Journal of statistical software, 2019-05, Vol.89 (3), p.1-30

2019

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A Stochastic Transmission Planning Model With Dependent Load and Wind Forecasts

IEEE transactions on power systems, 2015-11, Vol.30 (6), p.3003-3011

2015

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The Gaussian copula model for the joint deficit index for droughts

Journal of hydrology (Amsterdam), 2018-06, Vol.561, p.987-999

2018

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A framework for water supply regulation in coastal areas by avoiding saltwater withdrawal considering upstream streamflow distribution

The Science of the total environment, 2023-12, Vol.905, p.167181-167181, Article 167181

2023

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Exploring multivariate generalized gamma manifold for color texture retrieval

Pattern recognition, 2023-11, Vol.143, p.109748, Article 109748

2023

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Nonlinear parsimonious modeling based on Copula–LoGo

Expert systems with applications, 2024-12, Vol.255, p.124774, Article 124774

2024

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Being Bayesian about learning Bayesian networks from ordinal data

International journal of approximate reasoning, 2024-07, Vol.170, p.109205, Article 109205

Grzegorczyk, Marco

2024

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Estimation of global sensitivity indices for models with dependent variables

Computer physics communications, 2012-04, Vol.183 (4), p.937-946

2012

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Fuzzy semi-entropy based downside risk to low-carbon oriented multi-energy dispatch considering multiple dependent uncertainties

Energy (Oxford), 2024-01, Vol.287, p.129717, Article 129717

2024

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A Bayesian framework to identify random parameter fields based on the copula theorem and Gaussian fields: Application to polycrystalline materials

Coal resource estimation using Gaussian copula

Robust estimators and tests for bivariate copulas based on likelihood depth

An image NSCT-HMT model based on copula entropy multivariate Gaussian scale mixtures

Revisiting Gaussian copulas to handle endogenous regressors

Why Ordinal Variables Can (Almost) Always Be Treated as Continuous Variables: Clarifying Assumptions of Robust Continuous and Ordinal Factor Analysis Estimation Methods

On multivariate copula modeling of dependent degradation processes

Efficient Bayesian inference for stochastic time-varying copula models

Partial correlation with copula modeling

Gaussian Copula Mixed Models for Clustered Mixed Outcomes, With Application in Developmental Toxicology

Asymptotics of empirical copula processes under non-restrictive smoothness assumptions

High dimensional semiparametric latent graphical model for mixed data

Modified Gaussian pseudo-copula: Applications in insurance and finance

Perbandingan Analisis Regresi Linear dengan Analisis Regresi Copula pada Data Keuangan

Estimating discrete Markov models from various incomplete data schemes

Estimation and inference for dependence in multivariate data

BDgraph : An R Package for Bayesian Structure Learning in Graphical Models

A Stochastic Transmission Planning Model With Dependent Load and Wind Forecasts

The Gaussian copula model for the joint deficit index for droughts

A framework for water supply regulation in coastal areas by avoiding saltwater withdrawal considering upstream streamflow distribution

Exploring multivariate generalized gamma manifold for color texture retrieval

Nonlinear parsimonious modeling based on Copula–LoGo

Being Bayesian about learning Bayesian networks from ordinal data

Estimation of global sensitivity indices for models with dependent variables

Fuzzy semi-entropy based downside risk to low-carbon oriented multi-energy dispatch considering multiple dependent uncertainties

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