Results 81 to 90 of about 89,782 (266)
On approximating copulas by finite mixtures
, 2018 Copulas are now frequently used to approximate or estimate multivariate distributions because of their ability to take into account the multivariate dependence of the variables while controlling the approximation properties of the marginal densities ...
Khaled, Mohamad A., Kohn, Robert
core
, 2016 Given a sample from a multivariate distribution $F$, the uniform random variates generated independently and rearranged in the order specified by the componentwise ranks of the original sample look like a sample from the copula of $F$.
Segers, Johan +2 more
core +1 more source
Oikos, EarlyView.Seasonal environmental cycles affect plant–pollinator interactions by altering plant phenology. Periods of low resource availability can filter pollinators and reduce the complexity of interaction networks, but the extent to which the functional morphology of pollinators influences such filtering remains unclear.
Ugo M. Diniz +3 more
wiley +1 more source
Synchronization frequency analysis and stochastic simulation of multi-site flood flows based on the complicated vine copula structure [PDF]
Hydrology and Earth System SciencesAccurately modeling and predicting flood flows across multiple sites within a watershed presents significant challenges due to potential issues of insufficient accuracy and excessive computational demands in existing methodologies.
X. Yu, Y.-P. Xu, Y. Guo, S. Chen, H. Gu
doaj +1 more source
A Continuous Drought Risk Monitoring System, CDRMS, Based on Copulas [PDF]
, 2020 João Dehon de Araújo Pontes Filho +3 more
openalex +1 more source
Using expert elicitation to predict feral cat, Felis catus, responses to management
Pest Management Science, EarlyView.We generated estimates of lethal feral cat management success for 864 scenarios, only 71 lethal management scenarios met a population reduction target of 57%. Cat‐targeted poison baits, in dry conditions and arid areas were most successful. Feral cat management requires continued adaptive strategies to reduce cat impacts.
Annalie Dorph +7 more
wiley +1 more source
Copula–entropy theory for multivariate stochastic modeling in water engineering
Geoscience Letters, 2018 The copula–entropy theory combines the entropy theory and the copula theory. The entropy theory has been extensively applied to derive the most probable univariate distribution subject to specified constraints by applying the principle of maximum entropy.
Vijay P. Singh, Lan Zhang
doaj +1 more source
, 2014 An extension of the empirical copula is considered by combining an estimator of a multivariate cumulative distribution function with estimators of the marginal cumulative distribution functions for marginal estimators that are not necessarily equal to ...
Segers, Johan
core +1 more source
An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
Quarterly Journal of the Royal Meteorological Society, EarlyView.Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson +4 more
wiley +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley +1 more source