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Pair-copula constructions of multiple dependence [PDF]
, 2006 Building on the work of Bedford, Cooke and Joe, we show how multivariate data, which exhibit complex patterns of dependence in the tails, can be modelled using a cascade of pair-copulae, acting on two variables at a time.
Aas, Kjersti +3 more
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Bayesian Nonparametric Inference for a Multivariate Copula Function [PDF]
, 2014 The paper presents a general Bayesian nonparametric approach for estimating a high dimensional copula. We first introduce the skew-normal copula, which we then extend to an infinite mixture model.
Wu, Juan, Wang, Xue, Walker, Stephen G.
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Performance of Archimedean copula functions in annual flood estimation, Case study: Qarah-Soo Watershed [PDF]
مخاطرات محیط طبیعی, 2017 Flood is known as one of the most devastating natural hazards which cause great damages to human societies, municipal, industrial and agricultural centers. Flood estimation in confluence points of rivers– for being the location for many infrastructures –
Sanaz Zeraati, Mohammad Zounemat-Kermani
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TIME SERIES ANALYSIS USING COPULA GAUSS AND AR(1)-N.GARCH(1,1)
Media Statistika, 2016 In this case, the Gaussian Copula is used to connect the data that correlates with the time and with other data sets. Most often, practitioners rely only on the linear correlation to describe the degree of dependence between two or more variables; an ...
Rezzy Eko Caraka +3 more
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Smooth bootstrapping of copula functionals
Electronic Journal of Statistics, 2022 The smooth bootstrap for estimating copula functionals in small samples is investigated. It can be used both to gauge the distribution of the estimator in question and to augment the data. Issues arising from kernel density and distribution estimation in the copula domain are addressed, such as how to avoid the bounded domain, which bandwidth matrix to
Coblenz, Maximilian +3 more
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Modeling Insurance Claim Distribution via Mixture Distribution and Copula [PDF]
تحقیقات مالی, 2017 This paper analyses whether joint probability distribution function of losses due to different exposures covered under the same policy could be modeled in an appropriate manner via mixture distribution proposed and copula concept.
Saeed Bajalan +2 more
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Copula cosmology: Constructing a likelihood function [PDF]
Physical Review D, 2011 To estimate cosmological parameters from a given dataset, we need to construct a likelihood function, which sometimes has a complicated functional form. We introduce the copula, a mathematical tool to construct an arbitrary multivariate distribution function from one-dimensional marginal distribution functions with any given dependence structure. It is
Sato, Masanori +2 more
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Copula models in machine learning [PDF]
, 2015 The introduction of copulas, which allow separating the dependence structure of a multivariate distribution from its marginal behaviour, was a major advance in dependence modelling.
Rey, Mélanie
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Yantu gongcheng xuebao, 2020 The uncertainty and correlation of nonlinear strength parameters of rockfill are the key factors affecting the stability reliability analysis results of rockfill dam slopes.
KONG Xian-jing 1, 2, SONG Lai-fu 1, XU Bin 1, 2, ZOU De-gao 1, 2
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Estimation of Copula Density Using the Wavelet Transform
مجلة بغداد للعلومThis paper proposes a new method to estimate the copula density function using wavelet decomposition as a nonparametric method, to obtain more accurate results and address the issue of boundary effects that nonparametric estimation methods suffer from ...
Fatimah Hashim Falhi +1 more
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