Results 21 to 30 of about 24,138 (305)
Discrete Dynamics in Nature and Society, 2020 Financial data usually have the features of complexity and interdependence structure, such as asymmetric, tail, and time-varying dependence. This study constructs a new multivariate skewed fat-tailed copula, namely, noncentral contaminated normal (NCCN ...
Zhenyu Xiao +3 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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The grammaticalisation of a copula in vernacular Arabic
Glossa, 2019 It is standardly assumed that Arabic copula constructions with present tense interpretation involve either a null copula or a pronominal copula.
Louisa Sadler, Maris Camilleri
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International Journal of Stochastic Analysis, 2013 The class of probability distributions possessing the almost-lack-of-memory property appeared about 20 years ago. It reasonably took place in research and modeling, due to its suitability to represent uncertainty in periodic random environment. Multivariate version of the almost-lack-of-memory property is less known, but it is not less interesting.
Boyan Dimitrov, Nikolai Kolev
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Scientific Reports, 2022 In environmental monitoring, multiple spatial variables are often sampled at a geographical location that can depend on each other in complex ways, such as non-linear and non-Gaussian spatial dependence.
Mohomed Abraj +2 more
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Perbandingan Analisis Regresi Linear dengan Analisis Regresi Copula pada Data Keuangan
Jambura Journal of Mathematics, 2022 Regression analysis is a statistical analysis to predict or explain the relationship between the response variable and one or more explanatory variables. The simplest and most commonly used regression analysis is linear regression.
Alfi Khairiati +2 more
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Communications in Statistics - Theory and Methods, 2008 We present a new way of constructing n-copulas, by scaling and gluing finitely many n-copulas. Gluing for bivariate copulas produces a copula that coincides with the independence copula on some grid of horizontal and vertical sections. Examples illustrate how gluing can be applied to build complicated copulas from simple ones.
Siburg, Karl Friedrich +1 more
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Hydrology Research, 2020 Copulas are appropriate tools in drought frequency analysis. However, uncertainties originating from copulas in such frequency analysis have not received significant consideration. This study aims to develop a drought severity-areal extent-frequency (SAF)
Zhanling Li +3 more
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A Novel Nonparametric Estimation for Conditional Copula Functions Based on Bayes Theorem
IEEE Access, 2019 Conditional copula which measures the conditional dependence among variables, possesses a special position in copula field. In this article, based on Bayes theorem, we derive three kinds of conditional copula functions as the product of the corresponding
Xinyao Li, Weihong Zhang, Liangli He
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Approximation multivariate distribution of main indices of tehran stock exchange with pair-copula [PDF]
, 2013 The multivariate distribution of five main indices of Tehran stock exchange is approximated using a pair-copula model. A vine graphical model is used to produce an n-dimensional copula.
Parham, Gholamali +10 more
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