Results 51 to 60 of about 153,166 (217)
On Construction of Bernstein-Bézier Type Bivariate Archimedean Copula
Revstat Statistical Journal, 2022 In this paper, a new class of bivariate multi-parameter Archimedean copula based on Kendall distribution using Bernstein-Bézier polynomials is introduced. The new class copula has flexible dependence properties depending on the polynomial degree and the
Selim Orhun Susam , Burcu Hudaverdi
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On Testing for Independence Between Generalized Error Models of Several Time Series
Journal of Time Series Analysis, EarlyView.ABSTRACT We define generalized innovations associated with generalized error models having arbitrary distributions, that is, distributions that can be mixtures of continuous and discrete distributions. These models include stochastic volatility models and regime‐switching models with possibly zero‐inflated regimes.
Kilani Ghoudi +2 more
wiley +1 more source
Bivariate copula families and their GPLink functions.
, 2022 Bivariate copula families and their GPLink functions.
Nathalie Rochefort (12015603) +4 more
core +1 more source
Interval-conditioned quantiles of bivariate copulas
Dependence ModelingWe study conditional distributions and their quantiles when a continuous covariate is conditioned on an interval event, without discretizing the covariate itself, focusing on bivariate copulas.
Molendijk Thomas, Şahin Özge
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Alexandria Engineering JournalThe bivariate FGM Entropy-Transformed model is a new, flexible family of generalized bivariate distributions based on the FGM copula. The bivariate FGM Entropy-Transformed Weibull model is a new model that we developed based on the FGM copula and Entropy-
Tabassum Naz Sindhu +3 more
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New Bivariate Pareto Type II Models
Entropy, 2019 Pareto type II distribution has been studied from many statisticians due to its important role in reliability modelling and lifetime testing. In this article, we introduce two bivariate Pareto Type II distributions; one is derived from copula and the ...
Lamya Baharith, Hind Alzahrani
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Moving Aggregate Modified Autoregressive Copula‐Based Time Series Models (MAGMAR‐Copulas)
Journal of Time Series Analysis, EarlyView.ABSTRACT Copula‐based time series models can model univariate and stationary time series in a flexible way by decomposing the joint distribution of consecutive observations into a copula and the stationary distribution. Implicitly, this approach assumes a finite Markov order. In reality, a time series may not follow the Markov property.
Sven Pappert
wiley +1 more source
On Unit-Burr Distorted Copulas
AppliedMathThis paper introduces a new unit-Burr distortion function constructed via a transformation of the Burr random variable. The distortion can be applied to existing base copulas to create new copula families.
Fadal Abdullah A. Aldhufairi +1 more
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Testing the symmetry of a dependence structure with a characteristic function
Dependence Modeling, 2018 This paper proposes competing procedures to the tests of symmetry for bivariate copulas of Genest, Nešlehová and Quessy (2012). To this end, the null hypothesis of symmetry is expressed in terms of the copula characteristic function that uniquely ...
Bahraoui Tarik +2 more
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Assessing the Effectiveness of Workers' Selection Exams: The Case of the Bank of Italy
Oxford Bulletin of Economics and Statistics, EarlyView.ABSTRACT High‐stakes exams can be used to rank and select candidates for job openings, and the ability of those selected hinges on the design of the exam. I propose a method to model candidates' performance to assess how effective the exam is at selecting high‐ability candidates.
Santiago Pereda‐Fernández
wiley +1 more source