Results 91 to 100 of about 75,997 (278)
Synchronization frequency analysis and stochastic simulation of multi-site flood flows based on the complicated vine copula structure [PDF]
Hydrology and Earth System SciencesAccurately modeling and predicting flood flows across multiple sites within a watershed presents significant challenges due to potential issues of insufficient accuracy and excessive computational demands in existing methodologies.
X. Yu, Y.-P. Xu, Y. Guo, S. Chen, H. Gu
doaj +1 more source
, 2010 We define a copula process which describes the dependencies between arbitrarily many random variables independently of their marginal distributions. As an example, we develop a stochastic volatility model, Gaussian Copula Process Volatility (GCPV), to ...
Ghahramani, Zoubin +1 more
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Asymptotics of empirical copula processes under non-restrictive smoothness assumptions
, 2012 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
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Managing Competency‐Based Resistance in Video‐Mediated L2 Peer Feedback Sessions
TESOL Quarterly, EarlyView.Abstract Though there is growing empirical evidence on managing advice resistance as an institutional work of higher status party with superior epistemic knowledge domain (e.g., trainer) across diverse settings (e.g., supervision meetings), there is still a lack of research on how second language (L2) learners handle peer resistance in real time once ...
Kübra Ekşi
wiley +1 more source
Copula–entropy theory for multivariate stochastic modeling in water engineering
Geoscience Letters, 2018 The copula–entropy theory combines the entropy theory and the copula theory. The entropy theory has been extensively applied to derive the most probable univariate distribution subject to specified constraints by applying the principle of maximum entropy.
Vijay P. Singh, Lan Zhang
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On approximating copulas by finite mixtures
, 2018 Copulas are now frequently used to approximate or estimate multivariate distributions because of their ability to take into account the multivariate dependence of the variables while controlling the approximation properties of the marginal densities ...
Khaled, Mohamad A., Kohn, Robert
core
TESOL Quarterly, EarlyView.Abstract Current trends encouraging a move away from monolingual teaching have sparked a renewed interest in the role of translation in language instruction. Yet, there are few theoretically and empirically grounded proposals regarding specific uses of translation in the language classroom.
Monika Bader +2 more
wiley +1 more source
Pricing bivariate option under GARCH processes with time-varying copula [PDF]
This paper develops a method for pricing bivariate contingent claims under General Autoregressive Conditionally Heteroskedastic (GARCH) process. As the association between the underlying assets may vary over time, the dynamic copula with time-varying ...
Dominique Guegan, Jing Zhang
core
Discrete copulas and quasi-copulas
, 2022 The thesis gives a brief introduction to two dimensional copulas and related functions. Firstly, we present copulas, their usage and according history. Furthermore, in the text we include some examples and visual representations for this purpose. Copulas are cumulative distribution functions defined on the unit square with marginal distributions which ...
openaire +1 more source
Energy Internet, EarlyView.ABSTRACT Extreme icing disasters increasingly undermine the reliability of integrated power and heat networks by causing line outages, supply shortages and sharp thermal load fluctuations. To address these challenges, this paper proposes a comprehensive optimisation framework that exploits the spatiotemporal flexibility of data centres for coordinated ...
Yan Wang +6 more
wiley +1 more source