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New families of bivariate copulas via unit weibull distortion
This paper introduces a new family of bivariate copulas constructed using a unit Weibull distortion. Existing copulas play the role of the base or...
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A Marshall-Olkin Type Multivariate Model with Underlying Dependent Shocks
In this paper we study the distributional properties of a vector of lifetimes modeled as the first arrival time between an idiosyncratic shock and a...
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Marginals Matrix Under a Generalized Mallows Model Based on the Power Divergence
In rank data modeling, the classical distance-based approach has been extended by many authors in order to capture certain ranking features. Here, we...
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A Comparison of Reliability Coefficients for Ordinal Rating Scales
Kappa coefficients are commonly used for quantifying reliability on a categorical scale, whereas correlation coefficients are commonly applied to...
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A unified precision matrix estimation framework via sparse column-wise inverse operator under weak sparsity
In this paper, we estimate the high-dimensional precision matrix under the weak sparsity condition where many entries are nearly zero. We revisit the...
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Sieve Estimation of the Additive Hazards Model with Bivariate Current Status Data
In this paper, we study sieve maximum likelihood estimators of both finite and infinite dimensional parameters in the marginal additive hazards...
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Bürgerbeteiligung in Deutschland – Wer beteiligt sich wofür mit welchen Auswirkungen?
Citizen participation can be found in almost all areas of public life. Often, dissatisfaction with public decisions and disenchantment with politics...
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Point process convergence for symmetric functions of high-dimensional random vectors
The convergence of a sequence of point processes with dependent points, defined by a symmetric function of iid high-dimensional random vectors, to a...
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Monitoring photochemical pollutants based on symbolic interval-valued data analysis
This study considers monitoring photochemical pollutants for anomaly detection based on symbolic interval-valued data analysis. For this task, we...
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On tests for symmetry and radial symmetry of bivariate copulas towards testing for ellipticity
Very simple non-parametric tests are proposed to detect symmetry and radial symmetry in the dependence structure of bivariate copula data. The...
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Controlling the false discovery rate by a Latent Gaussian Copula Knockoff procedure
The penalized Lasso Cox proportional hazards model has been widely used to identify prognosis biomarkers in high-dimension settings. However, this...
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Modeling Australian Twin Data Using Generalized Lindley Shared Frailty Models
A new class of shared frailty models based on generalized Lindley distribution is established. We propose shared frailty models based on reversed...
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Copula and Markov Models
This chapter introduces the basic concepts on copulas and Markov models. We review the formal definition of copulas with its fundamental properties....
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Bayesian ridge regression for survival data based on a vine copula-based prior
Ridge regression estimators can be interpreted as a Bayesian posterior mean (or mode) when the regression coefficients follow multivariate normal...
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Bias of the additive hazard model in the presence of causal effect heterogeneity
Hazard ratios are prone to selection bias, compromising their use as causal estimands. On the other hand, if Aalen’s additive hazard model applies,...
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Selection of mixed copula for association modeling with tied observations
The link between Obesity and Hypertension is among the most popular topics which have been explored in medical research in recent decades. However,...
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Improving marginal hazard ratio estimation using quadratic inference functions
Clustered and multivariate failure time data are commonly encountered in biomedical studies and a marginal regression approach is often employed to...
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An extension of the Gumbel–Barnett family of copulas
The Gumbel–Barnett family of bivariate distributions with given marginals, is frequently used in theory and applications. This family has been...
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Estimation of final standings in football competitions with a premature ending: the case of COVID-19
We study an alternative approach to determine the final league table in football competitions with a premature ending. For several countries, a...
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Bayesian ridge estimators based on copula-based joint prior distributions for regression coefficients
Ridge regression is a widely used method to mitigate the multicollinearly problem often arising in multiple linear regression. It is well known that...
