Results 81 to 90 of about 32,012 (272)

Why Are FGM Copulas Successful? A Simple Explanation

open access: yesAdvances in Fuzzy Systems, 2018
One of the most computationally convenient nonredundant ways to describe the dependence between two variables is by describing the corresponding copula.
S. Sriboonchitta, V. Kreinovich
semanticscholar   +1 more source

Structural stability of plant–pollinator interactions despite seasonal abundance of long‐tongued hawkmoths

open access: yesOikos, 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

A Note on Identification of Bivariate Copulas for Discrete Count Data

open access: yes, 2017
Copulas have enjoyed increased usage in many areas of econometrics, including applications with discrete outcomes. However, Genest and Neslehova (2007) present evidence that copulas for discrete outcomes are not identified, particularly when those ...
P. Trivedi, David M. Zimmer
semanticscholar   +1 more source

Using expert elicitation to predict feral cat, Felis catus, responses to management

open access: yesPest 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

New copulas based on general partitions-of-unity and their applications to risk management

open access: yesDependence Modeling, 2016
We construct new multivariate copulas on the basis of a generalized infinite partition-of-unity approach. This approach allows, in contrast to finite partition-of-unity copulas, for tail-dependence as well as for asymmetry.
Pfeifer Dietmar   +3 more
doaj   +1 more source

Revista de Vertebrados de la Estación Biológica de Doñana [PDF]

open access: yes, 1975
The structure of a mediterranean lizard communityDiet of the eagle owl (Bubo bubo) in mediterranean SpainTamaño de la puesta y mortalidad entre los pollos del Aguila Real ibérica (Aquila chrysaetos homeyeriDistribución y frecuencia de la cópula del ...
Amat, Juan A.   +23 more
core  

An objective Bayesian method for including parameter uncertainty in ensemble model output statistics

open access: yesQuarterly 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

Bounds for Trivariate Copulas with Given Bivariate Marginals

open access: yesJournal of Inequalities and Applications, 2009
We determine two constructions that, starting with two bivariate copulas, give rise to new bivariate and trivariate copulas, respectively. These constructions are used to determine pointwise upper and lower bounds for the class of all trivariate copulas ...
doaj   +1 more source

EFEITOS DA IDADE NO COMPORTAMENTO DAS FÊMEAS DE MURIQUI (BRACHYTELES HYPOXANTHUS) [PDF]

open access: yes, 2007
EFEITOS DA IDADE NO COMPORTAMENTO DAS FÊMEAS DE MURIQUI (BRACHYTELES ...
SOUZA, V.
core  

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

open access: yesQuarterly 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

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