Results 71 to 80 of about 4,119 (212)
McDowell and Sellars on Objective Purport
European Journal of Philosophy, Volume 34, Issue 1, Page 313-332, March 2026.Abstract John McDowell has criticized Wilfrid Sellars on several occasions and over a number of years for his ‘non‐relational’ account of intentionality. This account is, according to McDowell, at least partly responsible for a ‘blind spot’ in Sellars's thinking: Sellars, allegedly, fails to see how objects or states of affairs in the external world ...
Stefan Brandt
wiley +1 more source
Extremal behavior of Archimedean copulas [PDF]
Advances in Applied Probability, 2011 We show how the extremal behavior of d-variate Archimedean copulas can be deduced from their stochastic representation as the survival dependence structure of an ℓ1-symmetric distribution (see McNeil and Nešlehová (2009)). We show that the extremal behavior of the radial part of the representation is determined by its Williamson d-transform. This leads
Larsson, Martin, Nešlehová, Johanna
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River, Volume 5, Issue 1, Page 33-54, February 2026.Study of meteorological‐hydrological drought propagation under reservoir regulation using a Copula‐Bayesian network in the Hanjiang River Basin. Abstract Reservoir operations play a pivotal role in modifying drought propagation processes, particularly by influencing the transition from meteorological to hydrological drought. This study investigates the
Yanping Qu +5 more
wiley +1 more source
Probabilistic modelling of the dependence between rainfed crops and drought hazard [PDF]
Natural Hazards and Earth System Sciences, 2019 Extreme weather events, such as droughts, have been increasingly affecting the agricultural sector, causing several socio-economic consequences. The growing economy requires improved assessments of drought-related impacts in agriculture, particularly ...
A. F. S. Ribeiro +5 more
doaj +1 more source
Simplified Pair Copula Constructions --- Limits and Extensions [PDF]
, 2012 So called pair copula constructions (PCCs), specifying multivariate distributions only in terms of bivariate building blocks (pair copulas), constitute a flexible class of dependence models.
Czado, Claudia +2 more
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Local dependence estimation using semiparametric archimedean copulas [PDF]
Canadian Journal of Statistics, 2005 Summary: The authors define a new semiparametric Archimedean copula family which has a flexible dependence structure. The generator of the family is a local interpolation of existing generators. It has locally-defined dependence parameters. The authors present a penalized constrained least-squares method to estimate and smooth these parameters.
Vandenhende, François +1 more
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International Transactions on Electrical Energy Systems, Volume 2026, Issue 1, 2026.In order to accurately evaluate and tap the mutual‐aid capacity potential of interconnected power stations under the scenario of peak‐to‐peak compensation between new energy output and load demand, this paper uses Copula function to describe the correlation structure of wind, light, and load from the perspective of source–load matching, quantify the ...
Chao Ding +6 more
wiley +1 more source
Algorithms, 2020 In this paper, we develop a novel computation model of Intuitionistic Fuzzy Values with the usage of fuzzy negations and Archimedean copulas. This novel computation model’s structure is based on the extension of the existing operations of intuitionistic ...
Stylianos Giakoumakis +1 more
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Journal of Mathematics, Volume 2026, Issue 1, 2026.This paper proposes a novel bivariate odd beta prime Fréchet (BOBPF) distribution constructed through the application of the Farlie–Gumbel–Morgenstern (FGM) copula function. The new model, called the BOBPF‐FGM, is engineered to address the persistent challenge of modeling positively skewed and heavy‐tailed bivariate data that exhibit complex ...
Aliyu Ismail Ishaq +6 more
wiley +1 more source
Copulas in finance and insurance [PDF]
, 2008 Copulas provide a potential useful modeling tool to represent the dependence structure among variables and to generate joint distributions by combining given marginal distributions. Simulations play a relevant role in finance and insurance.
Molanes, Elisa M., Romera, Rosario
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