Results 171 to 180 of about 3,920 (236)

Information-theoretic evaluation of covariate distributions models. [PDF]

J Pharmacokinet Pharmacodyn
Hartung N, Khatova A.
europepmc   +1 more source

Analysis of the spatial and temporal evolution of drought in Henan based on a nonlinear composite drought index. [PDF]

Sci Rep
Jin C, Jiang N, Tian X, Zheng E, Shi Q.
europepmc   +1 more source

Modeling risk dependence and portfolio VaR forecast through vine copula for cryptocurrencies. [PDF]

PLoS One, 2020
Syuhada K, Hakim A.
europepmc   +1 more source

Credible capacity evaluation of virtual power plants considering wind and PV uncertainties. [PDF]

Sci Rep
Li C, Dai J, Zhu S, Guo R, Liu Z, Jiang Y, Tian S, Wen Y.   +7 more
europepmc   +1 more source

Utilising neural networks for estimating two and three dimensional vine copulas allowing for changing dependence

Ioannis Konstantinos Seisopoulos
openalex   +1 more source

Financial markets dependence modeling using vine copulae - Vine copulae estimation of asset decomposition

, 2019
Petitjean, Simon Paul, Schiltz, Jang
openaire   +1 more source

A Vine Copula–GARCH Approach to Corporate Exposure Management

, 2017
Christopher M. Wells, Ahmad Farhat, Christopher Richardson, T. Ryan Deering   +3 more
openalex   +1 more source

Profile-aided distillation framework for personalized sleep analysis with compact models using LLM-guided synthetic data. [PDF]

Front Physiol
Zheng H, Ai X, Liu X, Xing X, Xu X.
europepmc   +1 more source

Bayesian Estimation of R-Vine Copula with Gaussian-Mixture GARCH Margins: An MCMC and Machine Learning Comparison [PDF]

Rewat Khanthaporn, Nuttanan Wichitaksorn
openalex   +1 more source

A novel generalized Weibull Poisson G class of continuous probabilistic distributions with some copulas, properties and applications to real-life datasets. [PDF]

Sci Rep
Hashem AF, Abdelkawy MA, Muse AH, Yousof HM.   +3 more
europepmc   +1 more source