Results 241 to 250 of about 8,945 (319)

Quantifying Model Selection Uncertainty in Structural Analysis: Methodology and Application

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 9, Page 1828-1844, 25 July 2026.
ABSTRACT With increasing focus on complex engineering systems under rare events, computational models are critical for predictions due to the scarcity or absence of data. However, selecting an appropriate model can be challenging. Using a single model without available test calibration could result in significant bias in performance predictions. A case
Ya‐Heng Yang, Tracy C. Becker
wiley   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

open access: yesJournal of Forecasting, Volume 45, Issue 4, Page 1797-1828, July 2026.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Nonlinear second order elliptic equations involving measures

open access: yes, 2014
Véron, Laurent, Marcus, M. 1937-
core  

Transcriptomics Analysis Reveals Dual Axes of Metabolic and Immune Dysregulation in the Progression of NAFLD to HCC

open access: yesNatural Sciences, Volume 6, Issue 3, July 2026.
The mechanisms driving the progression of NAFLD through NASH, cirrhosis and HCC are unclear. In this study, we have comprehensively analyzed multi‐cohort transcriptomics data of the whole NAFLD spectrum to unlock the paradigm changes in gene expression and its regulation.
Anusha Patodia   +5 more
wiley   +1 more source

Stage‐Specific Indicators of Northern Yellowtail Rockfish (Sebastes flavidus) Recruitment in the California Current Ecosystem

open access: yesFisheries Oceanography, Volume 35, Issue 4, Page 630-649, July 2026.
ABSTRACT Oceanographic and ecological conditions can be used to inform forecasts and decision‐making for marine resources, but the dominant drivers of recruitment variability remain poorly understood for many fish stocks. We developed a conceptual life‐history model of the oceanographic and ecological variables that influence the recruitment of ...
Megan L. Feddern   +3 more
wiley   +1 more source

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