Results 61 to 70 of about 18,813 (205)
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
Assessing Basis Risk in Margin Insurance for Beef Cattle Farming in Brazil
Agricultural Economics, Volume 57, Issue 4, July 2026.ABSTRACT Price volatility in agricultural markets directly affects the financial viability of rural producers, particularly in sectors characterized by narrow profit margins and long production cycles, such as beef cattle production. Futures contracts and agricultural insurance are commonly used to mitigate this risk; however, both instruments are ...
Beatriz Salandin Dal Pozzo +1 more
wiley +1 more source
Robust Bernoulli Mixture Models for Credit Portfolio Risk
Mathematical Finance, Volume 36, Issue 3, Page 528-543, July 2026.ABSTRACT This paper presents comparison results and establishes risk bounds for credit portfolios within classes of Bernoulli mixture models, assuming conditionally independent defaults that are stochastically increasing in a common risk factor. We provide simple and interpretable conditions on conditional default probabilities that imply a comparison ...
Jonathan Ansari, Eva Lütkebohmert
wiley +1 more source
Hybrid Clayton-Frank Convolution-Based Bivariate Archimedean Copula
Journal of Probability and Statistics, 2018 This study exploits the closure property of the converse convolution operator to come up with a hybrid Clayton-Frank Archimedean copula for two random variables.
Maxwell Akwasi Boateng +3 more
doaj +1 more source
Hierarchical Archimedean Copulae: The HAC Package [PDF]
Journal of Statistical Software, 2014 This paper presents the R package HAC, which provides user friendly methods for dealing with hierarchical Archimedean copulae (HAC). Computationally efficient estimation procedures allow to recover the structure and the parameters of HAC from data. In addition, arbitrary HAC can be constructed to sample random vectors and to compute the values of the ...
Ostap Okhrin, Alexander Ristig
openaire +4 more sources
Water Resources Research, Volume 62, Issue 5, May 2026.Abstract Drought indices represent essential tools for monitoring and evaluating drought conditions and evolution. Univariate indices employ the Probability Integral Transform to map data onto the standard Gaussian domain. Extending such a Gaussian normalization procedure to multivariate settings requires the usage of the Kendall distribution function ...
Carlo De Michele +3 more
wiley +1 more source
COBASE: A new copula‐based shuffling method for ensemble weather forecast postprocessing
Quarterly Journal of the Royal Meteorological Society, Volume 152, Issue 777, April 2026 Part B.We propose COBASE, a novel copula‐based postprocessing methododology that combines the strengths of multivariate parametric correction with non‐parametric rank‐based approaches. We consider two case studies for multi‐site temperature in Austria and multi‐site temperature and dew‐point temperature in the Netherlands.
Maurits Flos +4 more
wiley +1 more source
Properties of Hierarchical Archimedean Copulas [PDF]
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
Yarema Okhrin +2 more
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Risk Times in Mission‐Oriented Systems
Quality and Reliability Engineering International, Volume 42, Issue 3, Page 1380-1398, April 2026.ABSTRACT This article assesses risk times in mission‐oriented systems with high safety standards. We examine critical times under two safety policies. The first requires that the system's reliability function, known the first failure of the components, must exceed a reliability level throughout the mission.
Antonio Arriaza +2 more
wiley +1 more source
Lower Tail Dependence for Archimedean Copulas: Characterizations and Pitfalls [PDF]
Tail dependence copulas provide a natural perspective from which one can study the dependence in the tail of a multivariate distribution.For Archimedean copulas with continuously differentiable generators, regular variation of the generator near the ...
Charpentier, A., Segers, J.J.J.
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