Results 51 to 60 of about 89,598 (168)
IET Energy Systems Integration, 2022 With the continuous development of Regional Integrated Energy System (RIES), demand response (DR) is composed of diversified loads including electric load, heat load and gas load.
Shuxin Tian +4 more
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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
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IEEE AccessUsing copulas in statistics evaluates the dependence between random variables. Copula modeling has significantly been used in many areas, especially in the search for multivariate distributions.
Amir Shahirinia +4 more
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Time series with infinite-order partial copula dependence
Dependence Modeling, 2022 Stationary and ergodic time series can be constructed using an s-vine decomposition based on sets of bivariate copula functions. The extension of such processes to infinite copula sequences is considered and shown to yield a rich class of models that ...
Bladt Martin, McNeil Alexander J.
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Construction and Application of a Novel C‐Vine Copula‐Based Multi‐Variate Ecological Drought Index
Irrigation and Drainage, EarlyView.ABSTRACT A comprehensive ecological drought index capturing vegetation growth conditions and meteorological–hydrological variability is essential for assessing ecological drought and optimizing water resource management. This study selected soil moisture (SM), actual evapotranspiration (ET), land surface temperature (LST) and leaf area index (LAI) to ...
Haofei Zhang, Xingye Han, Zhijun Wu
wiley +1 more source
Bayesian Model Selection of Regular Vine Copulas [PDF]
Bayesian Analysis, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gruber, Lutz F., Czado, Claudia
openaire +3 more sources
Moving Aggregate Modified Autoregressive Copula‐Based Time Series Models (MAGMAR‐Copulas)
Journal of Time Series Analysis, EarlyView.ABSTRACT Copula‐based time series models can model univariate and stationary time series in a flexible way by decomposing the joint distribution of consecutive observations into a copula and the stationary distribution. Implicitly, this approach assumes a finite Markov order. In reality, a time series may not follow the Markov property.
Sven Pappert
wiley +1 more source
Nonparametric Conditional Copula Density Estimation With Applications to the Body Mass Index
Stat, Volume 15, Issue 4, December 2026.ABSTRACT This study develops a nonparametric conditional copula density estimator that features a parametric carrier copula refined by an exponential series adjustment. We adopt the local likelihood approach for conditional distribution estimation and incorporate the influence of covariates via kernel smoothing.
Michael Z. Wu, Lan Zhou
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Applied Water Science, 2023 Estimation of instantaneous peak discharge is important in the design of hydraulic structures and reservoir management. In this study, a new approach called CEEMD-Copula-GARCH is presented for simulating instantaneous peak discharge in the Qale Shahrokh ...
Mohammad Nazeri Tahroudi +1 more
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International Journal of Climatology, Volume 46, Issue 14, 30 November 2026.The changes in joint return period of compound meteorological hot‐dry (CMHHE) and hot‐wet (CMHWE) and compound hydrological hot‐dry (CHHDE) and hot‐wet (CHHWE) extremes were attributed to changes in associated univariate extremes and their dependence.
Ruting Yang +6 more
wiley +1 more source