Results 81 to 90 of about 27,516 (250)
Copula-based testing for dependence structures.. [PDF]
This thesis describes tests for specific dependence structures between two random variables, in particular: quadrant dependence, tail monotonicity and stochastic monotonicity.
Sznajder, Dominik
core
Copula‐based joint modelling of emergency department visits with time‐varying dependence
Canadian Journal of Statistics, EarlyView.Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley +1 more source
Estimating Risk of Natural Gas Portfolios by Using GARCH-EVT-Copula Model
The Scientific World Journal, 2015 This paper concentrates on estimating the risk of Title Transfer Facility (TTF) Hub natural gas portfolios by using the GARCH-EVT-copula model. We first use the univariate ARMA-GARCH model to model each natural gas return series.
Jiechen Tang +3 more
doaj +1 more source
Data on copula modeling of mixed discrete and continuous neural time series
Data in Brief, 2016 Copula is an important tool for modeling neural dependence. Recent work on copula has been expanded to jointly model mixed time series in neuroscience (“Hu et al., 2016, Joint Analysis of Spikes and Local Field Potentials using Copula” [1]).
Meng Hu, Mingyao Li, Wu Li, Hualou Liang
doaj +1 more source
Vine copula knockoffs for variable selection in gene expression studies
Canadian Journal of Statistics, EarlyView.Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina +3 more
wiley +1 more source
Enjoy the Joy of Copulas: With a Packagecopula [PDF]
Journal of Statistical Software, 2007 Copulas have become a popular tool in multivariate modeling successfully applied in many fields. A good open-source implementation of copulas is much needed for more practitioners to enjoy the joy of copulas. This article presents the design, features, and some implementation details of the R package copula.
openaire +3 more sources
To be or not to be? About the copula system in Buli (Gur) [PDF]
, 2008 This talk concerns the copula system in Buli, a Ghanaian language which has also been attested in Bahia (Rodrigues 1935, Zwernemann 1968). Special focus will be put on the categorization of two copula-reminiscent elements for which I will propose a ...
Schwarz, Anne
core
Extreme conditional quantile estimation for time series
Canadian Journal of Statistics, EarlyView.Abstract We consider the estimation of an extreme conditional quantile QY(1−p|x0)$$ {Q}_Y\left(1-p|{x}_0\right) $$ for a heavy‐tailed distribution in the case of a strictly stationary time series (Xt,Yt)t∈ℤ$$ {\left({X}_t,{Y}_t\right)}_{t\in \mathbb{Z}} $$. Here, QY(·|x0)$$ {Q}_Y\left(\cdotp |{x}_0\right) $$ denotes the conditional quantile function of
Yuri Goegebeur +2 more
wiley +1 more source
Copula-based dynamic conditional correlation multiplicative error processes : [Version 18 April 2013] [PDF]
, 2013 We introduce a copula-based dynamic model for multivariate processes of (non-negative) high-frequency trading variables revealing time-varying conditional variances and correlations.
Hautsch, Nikolaus, Bodnar, Taras
core
Joint copula‐based beta regression with covariate‐dependent dispersion for malaria indicators
Canadian Journal of Statistics, EarlyView.Abstract Malaria surveillance relies on multiple indicators that reflect different aspects of transmission and disease burden, yet these outcomes are often analyzed separately under constant‐variance assumptions. Such approaches may obscure residual dependence and heterogeneity in variability. Using Demographic and Health Survey data from Burkina Faso (
Guanjie Lyu, Cindy Feng
wiley +1 more source