Results 121 to 130 of about 9,257 (211)

Testing Copula Hypothesis with Copula Entropy

Testing copula hypothesis is of fundamental importance in the applications of copula theory. In this paper we proposed a copula hypothesis testing with copula entropy. Since copula entropy is a unified theory in probability and therefore testing copula hypothesis based on it can be applied to any types of copula function.
openaire   +3 more sources

Main questions in the study of copulas: categories, structures and operations

, 2019
This volume presents a crosslinguistic survey of the current theoretical debates around copular constructions from a generative perspective. Following an introduction to the main questions surrounding the analysis and categorization of copulas, the ...
Marín, Rafael, Arche, María J., Fábregas, Antonio   +2 more
core  

Dynamic copula Bayesian network predictive model for assessing the impact of initiative programs on child undernutrition in Ethiopia, 2009-2016. [PDF]

BMC Public Health
Begashaw GB, Zewotir T, Fenta HM, Asmamaw MA.   +3 more
europepmc   +1 more source

Decomposition of Bivariate Inequality Indices by Attributes Revisited [PDF]

Decomposability of multidimensional inequality indices by attributes is considered a highly desired property. Naga and Geoffard (2006) provided for it in case of three bivariate indices.
Martyna Kobus
core  

Data-Driven Chance-Constrained Mixed Integer Nonlinear Bi-level Optimisation Via Copulas: Application To Integrated Planning And Scheduling Problems. [PDF]

Syst Control Trans
Johnn SN, Nikkhah H, Tsai ML, Avraamidou S, Beykal B, Charitopoulos VM.   +5 more
europepmc   +1 more source

Modelling dependent censoring in time-to-event data using boosting copula regression. [PDF]

Lifetime Data Anal
Strömer A, Klein N, Van Keilegom I, Mayr A.   +3 more
europepmc   +1 more source

A Practical Guide to Endogeneity Correction Using Copulas. [PDF]

J Mark
Qian Y, Koschmann A, Xie H.
europepmc   +1 more source

A copula based supervised filter for feature selection in machine learning driven diabetes risk prediction. [PDF]

Sci Rep
Aich A, Murshed MM, Hewage S, Mayeaux A.
europepmc   +1 more source

Preface to the Special Issue: Quantum Probability and Randomness V. [PDF]

Entropy (Basel)
Khrennikov A, Svozil K.
europepmc   +1 more source

Copula

, 2020
Copulaen er et interessant verktøy i statistikken. Den er brukt i mange forskjellige områder fra finans til klimamodeller. En stor grunn til at copulaen er nyttig er hvordan man kan bruke copulaen til å splitte en bivariat fordeling opp i avhengighets-strukturen og selve marginalfordelingene. Vi vil forklare dette i denne oppgaven.
openaire   +1 more source