Results 151 to 160 of about 12,179 (202)

A dependent circular-linear model for multivariate biomechanical data: Ilizarov ring fixator study. [PDF]

Stat Methods Med Res
Nagar P, Bekker A, Arashi M, Kat CJ, Barnard AC.   +4 more
europepmc   +1 more source

A Review: Construction of Statistical Distributions. [PDF]

Entropy (Basel)
Fang KT, Lin YX, Deng YH.
europepmc   +1 more source

LSTM-augmented vine copula modelling for energy-finance contagion analysis. [PDF]

Sci Rep
Zeng L, Huang J, Lin X.
europepmc   +1 more source

MicroRNA target gene prediction model based on input-feature dependency and sample data expansion technique. [PDF]

PLoS Comput Biol
Shao Y, Li Y, Zhai H, Dong S.
europepmc   +1 more source

Generation of realistic virtual adult populations using a model-based copula approach. [PDF]

J Pharmacokinet Pharmacodyn
Guo Y, Guo T, Knibbe CAJ, Zwep LB, van Hasselt JGC.   +4 more
europepmc   +1 more source

Permutation Tests Based on the Copula-Graphic Estimator and Their Use for Survival Tree Construction. [PDF]

Stat Med
Baur P, Pauly M, Emura T.
europepmc   +1 more source

Likelihood Inference for Factor Copula Models with Asymmetric Tail Dependence. [PDF]

Entropy (Basel)
Joe H, Li X.
europepmc   +1 more source

Multivariate stochastic generation of meteorological data for building simulation through interdependent meteorological processes. [PDF]

Sci Rep
Jiao Z, Yuan J, Farnham C, Emura K.
europepmc   +1 more source

Gluing Copulas [PDF]

Communications in Statistics - Theory and Methods, 2008
We present a new way of constructing n-copulas, by scaling and gluing finitely many n-copulas. Gluing for bivariate copulas produces a copula that coincides with the independence copula on some grid of horizontal and vertical sections. Examples illustrate how gluing can be applied to build complicated copulas from simple ones.
Karl Friedrich Siburg, Pavel A Stoimenov
exaly   +7 more sources