Results 81 to 90 of about 289 (177)
Market Insurance and Risk Pooling in U.S. Crop Insurance
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
Flexible methods for species distribution modeling with small samples
Species distribution models (SDMs) predict where species live or could potentially live and are a key resource for ecological research and conservation decision‐making. However, current SDM methods often perform poorly for rare or inadequately sampled species, which include most species on earth, as well as most of those of the greatest conservation ...
Brian S. Maitner +4 more
wiley +1 more source
ABSTRACT Compound events (CEs), commonly defined as the “combination of multiple drivers and/or hazards that contributes to societal or environmental risk”, often result in amplified impacts compared to individual hazards. In order to estimate the return period of bivariate CEs, a novel nonparametric approach employing bivariate Generalized Pareto ...
Grégoire Jacquemin +3 more
wiley +1 more source
Nonparametric estimation of simplified vine copula models: comparison of methods
In the last decade, simplified vine copula models have been an active area of research. They build a high dimensional probability density from the product of marginals densities and bivariate copula densities.
Nagler Thomas +2 more
doaj +1 more source
This study presents a geographic information system‐based, participatory methodology to identify high‐potential zones for agricultural waste valorization in rural Mozambique. By integrating spatial data with local knowledge, it reveals opportunities for bioenergy production and sustainable water use. The findings support circular development strategies,
Giuseppe Mancuso +4 more
wiley +1 more source
Gaussian Process Vine Copulas for Multivariate Dependence
Copulas allow to learn marginal distributions separately from the multivariate dependence structure (copula) that links them together into a density function. Vine factorizations ease the learning of high-dimensional copulas by constructing a hierarchy of conditional bivariate copulas. However, to simplify inference, it is common to assume that each of
Lopez-Paz, D. +2 more
openaire +4 more sources
Operational Convection‐Permitting COSMO/ICON Ensemble Predictions at Observation Sites (CIENS)
Map of synoptic stations in Germany for which ensemble forecasts and observations are provided in the CIENS dataset. Colours represent the station altitude in metres. ABSTRACT We present the CIENS dataset, which contains ensemble weather forecasts from the operational convection‐permitting numerical weather prediction model of the German Weather ...
Sebastian Lerch +6 more
wiley +1 more source
Abstract Drought significantly affects water resources, agriculture, energy, and ecosystems, revealing enduring socio‐economic vulnerabilities over the centuries. This review synthesizes a century of development and recent advances in drought research (1900–2023), drawing on a bibliometric analysis of over 152,000 peer‐reviewed publications. The review
Amitesh Sabut, Ashok Mishra
wiley +1 more source
Simplified vine copula models: State of science and affairs
Vine copula models have become highly popular practical tools for modeling multivariate dependencies. To maintain tractability, a commonly employed simplifying assumption is that conditional copulas remain unchanged by the conditioning variables.
Thomas Nagler
doaj +1 more source
This study develops a spatiotemporal source‐load scenario generation framework using Copula‐Markov chains, R‐Vine Copulas and user behaviour models. A novel flexibility assessment framework quantifies supply‐demand imbalances, showing flexibility resources like demand response and VSC capacity shape system flexibility. ABSTRACT Global energy transition
Kang Yue +5 more
wiley +1 more source

