Results 71 to 80 of about 927 (219)

Market Insurance and Risk Pooling in U.S. Crop Insurance

open access: yesAgricultural Economics, Volume 57, Issue 2, March 2026.
ABSTRACT A common assumption is that multiple‐peril crop insurance markets suffer from market failures, thus justifying government intervention in the form of premium subsidies, operating allowances, and reinsurance agreements. One prominent rationale for intervention involves geographic correlation in agricultural production which leads to systemic ...
Fan Fan   +3 more
wiley   +1 more source

A Scale‐Invariant Learning Model for Distributed Practice Effects

open access: yesCognitive Science, Volume 50, Issue 3, March 2026.
Abstract Despite their potential to significantly improve the durability of learning and their proven predictive power on many occasions, theories of distributed practice have not yet been widely adopted by educators. The reluctance may be attributed to the enormous strain they impose on learners or the fragmented nature of the evidence, as well as the
Martin Riopel, Patrice Potvin
wiley   +1 more source

Inference in multivariate Archimedean copula models

open access: yes
Archimedean copula, Consistency, Frailty, Kendall distribution, Probability integral transform, Radial distribution, Simplex distribution, Weak convergence, 62G05, 62G20, 62H12, 62H20,
Johanna Nešlehová   +2 more
core   +1 more source

Penerapan Metode GARCH-Vine Copula untuk Estimasi Value at Risk (VaR) pada Portofolio

open access: yesJurnal Fourier, 2018
Salah satu alat ukur yang digunakan untuk menghitung risiko portofolio adalah Value at Risk (VaR). Beberapa metode pengukuran VaR mengasumsikan return berdistribusi normal dan ukuran dependensi antar saham menggunakan korelasi linear.
Herida Okta Pintari, Retno Subekti
doaj   +1 more source

McDowell and Sellars on Objective Purport

open access: yesEuropean 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

Hierarchical Archimedean Copulae: The HAC Package [PDF]

open access: yesJournal 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

Study of meteorological‐hydrological drought propagation under reservoir regulation using a Copula‐Bayesian network in the Hanjiang River Basin

open access: yesRiver, 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

Physics‐Guided Transformer for Distributed Photovoltaic Power Forecasting Based on Copula Asymmetric Dependence Analysis

open access: yesIET Energy Systems Integration, Volume 8, Issue 1, January/December 2026.
ABSTRACT Distributed photovoltaic (DPV) power forecasting is essential for grid stability but remains challenging due to strong intermittency and meteorological uncertainty. Existing data‐driven models often lack physical interpretability and struggle to capture asymmetric dependence structures, leading to unreliable predictions during extreme weather.
Lili Zheng   +6 more
wiley   +1 more source

Method to choose a archimedean copula optimal

open access: yes, 2012
Actualmente las Cópulas son una herramienta muy fuerte para el modelamiento de datos en los que la dependencia entre variables aleatorias es importante y el supuesto de normalidad no se tiene.
Moreno Chavarro, Diana Carolina
core  

Spatiotemporal Optimization–Based Assessment of Mutual‐Aid Capacity for Interconnected Distribution Areas Considering Internal and External Energy Interactions

open access: yesInternational 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

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