Results 81 to 90 of about 44,115,319 (295)
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
GFC-Robust Risk Management Under the Basel Accord Using Extreme Value Methodologies [PDF]
In McAleer et al. (2010b), a robust risk management strategy to the Global Financial Crisis (GFC) was proposed under the Basel II Accord by selecting a Value-at-Risk (VaR) forecast that combines the forecasts of different VaR models.
Michael McAleer +3 more
core +4 more sources
There has been much discussion in the literature about how central measures of equity risk such as standard deviation fail to account for extreme tail risk of equities.
Robert J. Powell +2 more
doaj +1 more source
Minimum capital requirement and portfolio allocation for non-life insurance: a semiparametric model with Conditional Value-at-Risk (CVaR) constraint. [PDF]
Staino A +3 more
europepmc +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Estimating Climate Risk Exposure in the U.S. Insurance Sector Using Factor Model and EVT
This study examines the exposure of the U.S. insurance sector to climate-related risks using a two-step approach combining factor modeling and Extreme Value Theory. The analysis first constructs a climate risk factor from transition-sensitive sectors and
Olanrewaju Oluwadamilare Olaniyan
doaj +1 more source
IGFBP4 is upregulated in granulosa cells of aged ovaries across monkeys, mice, and humans. It inhibits YAP signaling, thereby suppressing cell proliferation and contributing to follicular dysfunction. Deletion of Igfbp4 in granulosa cells enhances ovulatory output, improves hormone profiles, and reproductive performance in aged female mice, suggesting ...
Qianhui Hu +8 more
wiley +1 more source
Assessing systemic risk in Morocco’s banking sector: Conditional value-at-risk approach [PDF]
Type of the article: Research Article AbstractSystemic risk in the banking sector poses a major threat to financial stability, particularly in concentrated markets such as Morocco, where the failure of one institution may trigger widespread disruptions.
Soufiane Benbachir, Mohamed Beraich
doaj +1 more source
Mesenchymal stromal cells (MSCs) show promise for treating immune‐related disorders through immunomodulation and tissue regeneration. This review gives a brief overview of current clinical approval of MSC therapies. It also discussed how bioengineering, including genetic modification, biomaterial delivery, extracellular vesicles, and iPSC‐derived MSCs,
Sichen Yang +6 more
wiley +1 more source
O presente estudo propõe uma análise comparativa de dez modelos de volatilidade para o cálculo do Value-at-Risk (VaR) para carteira teórica do Ibovespa, considerando a presença de memória longa na série temporal dos seus retornos diários.
Luiz Eduardo Gaio +1 more
doaj +1 more source

