Results 21 to 30 of about 927 (219)

Deep Archimedean Copulas

open access: yesCoRR, 2020
A central problem in machine learning and statistics is to model joint densities of random variables from data. Copulas are joint cumulative distribution functions with uniform marginal distributions and are used to capture interdependencies in isolation from marginals.
Chun Kai Ling   +2 more
openaire   +3 more sources

Assessing the Adaptation of Internet of Things (IoT) Barriers for Smart Cities’ Waste Management Using Fermatean Fuzzy Combined Compromise Solution Approach

open access: yesIEEE Access, 2022
This study proposes a systematic methodology of the adoption of Internet of Things (IoT) barriers (IoTBs) that exist in the waste management structures of smart cities (SCs) in growing economies likely India.
Arunodaya R. Mishra   +6 more
doaj   +1 more source

Quantile Regression Based on the Weighted Approach with Dependent Truncated Data

open access: yesMathematics, 2023
This paper discusses the estimation of parameters in the quantile regression model for dependent truncated data. To account for the dependence between the survival time and the truncated time, the Archimedean copula model is used to construct the ...
Jin-Jian Hsieh, Cheng-Chih Hsieh
doaj   +1 more source

Properties of hierarchical Archimedean copulas [PDF]

open access: yesStatistics & Risk Modeling, 2013
Abstract In this paper we analyse the properties of hierarchical Archimedean copulas. This class is a generalisation of the Archimedean copulas and allows for general non-exchangeable dependency structures. We show that the structure of the copula can be uniquely recovered from all bivariate margins.
Ostap Okhrin   +2 more
openaire   +4 more sources

Archimedean copulae and positive dependence [PDF]

open access: yesJournal of Multivariate Analysis, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
MUELLER A, SCARSINI, MARCO
openaire   +4 more sources

PERHITUNGAN VALUE AT RISK PORTOFOLIO PADA FUNGSI ARCHIMEDEAN COPULA

open access: yes, 2021
Value at Risk (VaR) merupakan salah satu alat ukur yang digunakan untuk menghitung risiko pada portofolio. Akan tetapi VaR memiliki asumsi distribusi normalitas.
Lusia, Nona   +2 more
core   +2 more sources

Optimal Grouping of Dependent Components in Parallel-Series and Series-Parallel Systems with Independent Subsystems Equipped with Starting Devices

open access: yesMathematics, 2023
In this paper, we consider parallel-series and series-parallel systems comprising dependent components that are drawn from a heterogeneous population consisting of m different subpopulations, and each subsystem is equipped with a starter device.
Narayanaswamy Balakrishnan   +3 more
doaj   +1 more source

The Copula Derived from the SAHARA Utility Function

open access: yesRisks, 2022
A new Archimedean copula family is presented that was derived from the SAHARA utility function introduced in the economic literature in 2011. Its properties are discussed, and its flexibility and versatility are demonstrated.
Jaap Spreeuw
doaj   +1 more source

Compound Archimedean Copulas

open access: yesInternational Journal of Statistics and Probability, 2021
The copula function is an effective and elegant tool useful for modeling dependence between random variables. Among the many families of this function, one of the most prominent family of copula is the Archimedean family, which has its unique structure and features.
Moshe Kelner   +2 more
openaire   +2 more sources

Local Dependence for Bivariate Weibull Distributions Created by Archimedean Copula

open access: yesمجلة بغداد للعلوم, 2021
In multivariate survival analysis, estimating the multivariate distribution functions and then measuring the association between survival times are of great interest.
Swar O. Ahmed   +2 more
doaj   +1 more source

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