Results 121 to 130 of about 71,229 (282)
Bayesian clustering of multivariate extremes
Canadian Journal of Statistics, EarlyView.Abstract The asymptotic dependence structure between multivariate extreme values is fully characterized by their projections on the unit simplex. Under mild conditions, the only constraint on the resulting distributions is that their marginal means must be equal, which results in a nonparametric model that can be difficult to use in applications ...
Sonia Alouini, Anthony C. Davison
wiley +1 more source
Estimation of temporally aggregated multivariate GARCH models [PDF]
This paper investigates the performance of quasi maximum likelihood (QML) and nonlinear least squares (NLS) estimation applied to temporally aggregated GARCH models.Since these are known to be only weak GARCH, the conditional variance of the aggregated ...
Hafner, C.M., Rombouts, J.V.K.
core +1 more source
A Fast and Highly Stable Aqueous Calcium‐Ion Battery for Sustainable Energy Storage
ChemSusChem, Volume 18, Issue 6, March 15, 2025.Aqueous batteries provide a low‐cost, safer alternative to lithium‐ion batteries, but their viability is often limited by rapid electrode degradation. This study shows that replacing K+ with divalent Ca2+ ions in the electrolyte significantly boosts the stability of both copper hexacyanoferrate cathodes and polyimide anodes, enabling fast‐charging ...
Raphael L. Streng +4 more
wiley +1 more source
The Mean Variance Mixing GARCH (1,1) model [PDF]
Here we present a general framework for a GARCH (1,1) type of process with innovations with a probability law of the mean- variance mixing type, therefore we call the process in question the mean variance mixing GARCH \ (1,1) or MVM GARCH\(1,1).
Anders Eriksson, Lars Forsberg
core
Edge Fluid Turbulence Simulations of Stellarators With GRILLIX
Contributions to Plasma Physics, EarlyView.ABSTRACT The edge fluid turbulence code GRILLIX has recently been extended from axisymmetric tokamak geometries to support 3D stellarator configurations. Following successful proof‐of‐principle simulations published in Stegmeir et al., we present here a comprehensive simulation of the Wendelstein 7‐AS stellarator.
Andreas Stegmeir +4 more
wiley +1 more source
The efficient market hypothesis re-visited: new evidence from 100 US firms [PDF]
In this paper, we test the efficient market hypothesis for 100 US firms listed on the New York Stock Exchange. To test the unit root null hypothesis, we develop a generalized autoregressive heteroskedasticity (GARCH) model that not only caters for the ...
Paresh Kumar Narayan, Ruipeng Liu
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Bayesian estimation of the gaussian mixture garch model [PDF]
, 2005 In this paper, we perform Bayesian inference and prediction for a GARCH model where the innovations are assumed to follow a mixture of two Gaussian distributions.
Ausín Olivera, María Concepción +1 more
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Journal of Time Series AnalysisGeneralized Autoregressive Conditional Heteroscedasticity (GARCH) model and its variations have been widely adopted in the study of financial volatilities, while the extension of GARCH‐type models to high‐dimensional data is always difficult because of over‐parameterization and computational complexity. In this article, we propose a multi‐variate GARCH‐
Yue Pan, Jiazhu Pan
openaire +3 more sources
Engineered Metal–Organic Frameworks‐Based Materials for Environmental Detection
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.Engineered metal–organic frameworks (MOFs) regulated by various material modification strategies are discussed for environmental contaminant detection under different sensing mechanisms, providing future improvements of MOFs in environmental detection. Sensitive and selective detection of contaminants is crucial for environmental protection.
Pan Gao +3 more
wiley +1 more source
Journal of Forecasting, EarlyView.ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann +2 more
wiley +1 more source