Results 51 to 60 of about 136,974 (263)
Optimization with Multivariate Conditional Value-at-Risk Constraints
For many decision-making problems under uncertainty, it is crucial to develop risk-averse models and specify the decision makers' risk preferences based on multiple stochastic performance measures (or criteria). Incorporating such multivariate preference rules into optimization models is a fairly recent research area.
Noyan, Nilay, Rudolf, Gabor
openaire +3 more sources
Neural cell–derived small extracellular vesicles (sEVs) are emerging as pivotal mediators in neurodegenerative diseases, exerting both pathogenic and therapeutic functions. This review synthesizes current evidence on how sEVs from distinct neural cell types regulate neurodegeneration, neuroprotection, biomarker discovery, and targeted drug delivery ...
Muhammad Waqas Salim +4 more
wiley +1 more source
Evaluation of Systemic Risk and Spillover of Index Volatilities of Different Industry Groups in Tehran Stock Exchange [PDF]
The expansion of communications between active industries and companies in different industry groups on the Tehran Stock Exchange has caused that, in the event of volatility in an industry index, this volatility can spread like a domino to other industry
Mehdi Mohammad pour +2 more
doaj +1 more source
Interval Optimization In Portfolio Selection with Conditional Value At Risk [PDF]
In this paper portfolio selection problem with interval optimization approach is surveyed. CVaR is risk measure. CVaR is the expected loss depending on the chosen confidence level.
Amir Abbas Najafi +2 more
doaj +1 more source
A robust method to generate functional human iPSC‐derived endothelial cells using inducible ETV2 expression. These cells self‐organize into stable, lumenized microvascular networks within microfluidic chips, surpassing conventional differentiation methods.
Shun Zhang +12 more
wiley +1 more source
A Hybrid EGARCH–Informer Model with Consistent Risk Calibration for Volatility and CVaR Forecasting
This study proposes a hybrid EGARCH-Informer framework for forecasting volatility and calibrating tail risk in financial time series. The econometric layer (EGARCH) captures asymmetric and persistent volatility dynamics, while the attention layer ...
Ming Che Lee
doaj +1 more source
Multi-Power Coordinated Optimization Operation Strategy Considering Conditional Value at Risk
In order to achieve carbon peaking and carbon neutrality goals, the power system presents the trend of extensive access of multiple power sources. A multi-power coordination bi-level optimal operation model was proposed.
QIAN Zhonghao +7 more
doaj +1 more source
2D Nanomaterials Toward Function‐Ready Superlubricity in Advanced Microsystems
A unified framework links structural and transformation superlubricity with microsystem functions and deployment requirements. Mechanisms, device architectures, integration strategies, AI‐guided discovery, and benchmarking protocols are connected to define function‐ready superlubricity in advanced microsystems.
Yushan Geng, Jun Yang, Yong Yang
wiley +1 more source
Robust conditional variance estimation and value-at-risk
A common approach to estimating the conditional volatility of short horizon asset returns is to use an exponentially weighted moving average (EWMA) of squared past returns. The EWMA estimator is based on the maximum likelihood estimator of the variance of the normal distribution, and is thus optimal when returns are conditionally normal. However, there
Harris, Richard D F, Guermat, Cherif
openaire +2 more sources
Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source

