Results 91 to 100 of about 44,033 (313)
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
Multiplier bootstrap of tail copulas with applications
For the problem of estimating lower tail and upper tail copulas, we propose two bootstrap procedures for approximating the distribution of the corresponding empirical tail copulas. The first method uses a multiplier bootstrap of the empirical tail copula
Bücher, Axel, Dette, Holger
core +1 more source
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
Fitting Copulas with Maximal Entropy
We deal with two-dimensional copulas from the perspective of their differential entropy. We formulate a problem of finding a copula with maximum differential entropy when some copula values are given.
Milan Bubák, Mirko Navara
doaj +1 more source
Using expert elicitation to predict feral cat, Felis catus, responses to management
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
An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
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
Testing the symmetry of a dependence structure with a characteristic function
This paper proposes competing procedures to the tests of symmetry for bivariate copulas of Genest, Nešlehová and Quessy (2012). To this end, the null hypothesis of symmetry is expressed in terms of the copula characteristic function that uniquely ...
Bahraoui Tarik +2 more
doaj +1 more source
Asymptotics of empirical copula processes under non-restrictive smoothness assumptions
Weak convergence of the empirical copula process is shown to hold under the assumption that the first-order partial derivatives of the copula exist and are continuous on certain subsets of the unit hypercube.
Segers, Johan
core +1 more source
Probabilistic analysis of the controls on groundwater depth using Copula Functions [PDF]
Yifei Bai +3 more
openalex +1 more source
Snow Disaster Hazard Assessment on the Tibetan Plateau Based on Copula Function [PDF]
Qiuxuan Xu +3 more
openalex +1 more source

