Results 231 to 240 of about 2,694 (314)

Structured Dynamics in the Algorithmic Agent. [PDF]

open access: yesEntropy (Basel)
Ruffini G, Castaldo F, Vohryzek J.
europepmc   +1 more source

A Bayesian Multisource Fusion Model for Spatiotemporal PM2.5$$ {\mathrm{PM}}_{2.5} $$ in an Urban Setting

open access: yesEnvironmetrics, Volume 37, Issue 1, January 2026.
ABSTRACT Airborne particulate matter (PM2.5$$ {\mathrm{PM}}_{2.5} $$) is a major public health concern in urban environments, where population density and emission sources exacerbate exposure risks. We present a novel Bayesian spatiotemporal fusion model to estimate monthly PM2.5$$ {\mathrm{PM}}_{2.5} $$ concentrations over Greater London (2014–2019 ...
Abi I. Riley   +7 more
wiley   +1 more source

Using SHAP and LIME to Explain Machine Learning Models Predicting Comorbid Depression and Stroke From Daily Dietary Nutrient Intake in a US Population‐Based Study

open access: yesFood Science &Nutrition, Volume 14, Issue 1, January 2026.
This study used interpretable machine learning to identify dietary nutrient patterns associated with depression‐stroke comorbidity in U.S. adults aged 50 years and older. While overall nutrient mixtures showed no significant association, specific micronutrients including vitamins B1, B12, and C, zinc, and caffeine consistently predicted comorbidity ...
Hongwei Liu   +4 more
wiley   +1 more source

A Learning Model with Memory in the Financial Markets

open access: yesInternational Journal of Finance &Economics, Volume 31, Issue 1, Page 1203-1213, January 2026.
ABSTRACT Learning is central to a financial agent's aspiration to gain persistent strategic advantage in asset value maximisation. The implicit mechanism that transforms this aspiration into an observed value gain is the speed of error corrections (demonstrating, an agent's speed of learning) whilst facing increased uncertainty.
Shikta Singh   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy