A nonparametric test for comparing survival functions based on restricted distance correlation
Dependence Modeling, 2023 In this article, we propose an omnibus test for comparing two survival functions under non-proportional hazards. The test statistic is based on a product-limit estimate of the restricted distance correlation, which is closely related to the L2{L}_{2 ...
Zhang Qingyang
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Novel tau-informed initialization for maximum likelihood estimation of copulas with discrete margins
Dependence ModelingWe study Gaussian-copula models with discrete margins, with primary emphasis on low-count (Poisson) data. Our goal is exact yet computationally efficient maximum likelihood (ML) estimation in regimes where many observations contain small counts, which ...
van Es Anna, Cantoni Eva
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Polynomial bivariate copulas of degree five: characterization and some particular inequalities
Dependence Modeling, 2021 Bivariate polynomial copulas of degree 5 (containing the family of Eyraud-Farlie-Gumbel-Morgenstern copulas) are in a one-to-one correspondence to certain real parameter triplets (a, b, c), i.e., to some set of polynomials in two variables of degree 1: p(
Šeliga Adam +5 more
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A Set of Conceptual Guidelines for Reverse Engineering Using Ontology-Based Materialized Views [PDF]
, 2019 Data reuse and meta-data handling remain a tricky problem for both designers and managers, especially when schemas reverse engineering is on demand and some data are stored in materialized views.
Sy, Oumar
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Profile identification via weighted related metric scaling : an application to dependent Spanish children [PDF]
, 2011 AMS subject classification: 62-07, 62-09, 62H20, 62H99, 62P05Disability and dependency (lack of autonomy in performing common everyday actions) affect health status and quality of life, therefore they are significant public health issues.
Albarrán Lozano, Irene +2 more
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On bivariate Archimedean copulas with fractal support
Dependence ModelingDue to their simple analytic form (bivariate) Archimedean copulas are usually viewed as very smooth and handy objects, which should distribute mass in a fairly regular and certainly not in a pathological way. Building upon recently established results on
Sánchez Juan Fernández +1 more
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On the asymptotic covariance of the multivariate empirical copula process
Dependence Modeling, 2019 Genest and Segers (2010) gave conditions under which the empirical copula process associated with a random sample from a bivariate continuous distribution has a smaller asymptotic covariance than the standard empirical process based on a random sample ...
Genest Christian +2 more
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Admissibility and linear sufficiency in linear model with nuisance parameters
Admissibility, BLUE, Linear sufficiency, Partitioned linear model, Nuisance parameters, Reduced model, 15A42, 62J05, 62F10, 62H12, 62H20,
Simo Puntanen, Augustyn Markiewicz
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Copula-Based Dependence Measures For Piecewise Monotonicity
Dependence Modeling, 2017 The aim of the present paper is to develop and examine association coefficients which can be helpfully applied in the framework of regression analysis.
Liebscher Eckhard
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New copulas based on general partitions-of-unity (part III) — the continuous case
Dependence Modeling, 2019 In this paper we discuss a natural extension of infinite discrete partition-of-unity copulas which were recently introduced in the literature to continuous partition of copulas with possible applications in risk management and other fields.
Pfeifer Dietmar +3 more
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