Results 191 to 200 of about 118,631 (311)

Improving Sepsis Prediction in the ICU with Explainable Artificial Intelligence: The Promise of Bayesian Networks. [PDF]

J Clin Med
Agard G, Roman C, Guervilly C, Ouladsine M, Boyer L, Hraiech S.   +5 more
europepmc   +1 more source

Probabilistic decision-support framework for community resilience: Incorporating multi-hazards, infrastructure interdependencies, and resilience goals in a Bayesian network

, 2019
Sabarethinam Kameshwar, Daniel T. Cox, André R. Barbosa, Karim Farokhnia, Hyoungsu Park, Mohammad S. Alam, John W. van de Lindt   +6 more
openalex   +2 more sources

Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?

Agribusiness, EarlyView.
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley   +1 more source

Data-driven Bayesian networks for risk scenario mapping of Falls from height accidents. [PDF]

PLoS One
Li J, Wang T.
europepmc   +1 more source

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

Correction: A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools. [PDF]

Front Syst Biol
Canonaco F, Gaudillo J, Astrologo N, Stella F, Acerbi E.   +4 more
europepmc   +1 more source

Food Prices and Inflation Expectations in New Zealand

Agribusiness, EarlyView.
ABSTRACT Food prices are conspicuous, and spending on food constitutes a considerable share of household expenditure. In this study, we use partially identified Bayesian structural vector autoregression models to analyze the effects of food price shocks on core inflation and 1‐ and 5‐year inflation expectations in New Zealand.
Puneet Vatsa, Gabriel Pino, Alex Acheampong   +2 more
wiley   +1 more source

Clarifying Fundamental Role of Symbol Coding in Cognitive Networks in Schizophrenia and Healthy Controls Leveraging Gaussian Graphical Models and Bayesian Networks. [PDF]

Schizophr Bull
Zhang Y, Sun Y, Lu Z, Zhao G, Sun J, Zhang X, Yang Y, Kang Z, Feng X, Yuan R, Liao Y, Zhu Y, Guo J, Yue W.   +13 more
europepmc   +1 more source

Integrating Physics-Informed Neural Networks with Bayesian Inference for Nonlinear Filtering

S.A. Azimov, Sangil Kim
openalex   +1 more source

Protection Motivation Theory and Farmers' Participation in Futures Markets: Evidence From Germany

Agribusiness, EarlyView.
ABSTRACT This study examines why German farmers show limited adoption of commodity futures contracts despite substantial price volatility, applying Protection Motivation Theory (PMT) to understand the cognitive processes driving participation decisions in futures markets. Survey data from 303 German farmers collected in 2024 were analyzed using Partial
Hendrik Wever, Marius Michels, Oliver Musshoff   +2 more
wiley   +1 more source