Results 131 to 140 of about 113,736 (262)

Bayesian Networks to Support National Policy Decision Making in Indonesia: A Literature Review

Hurairah Haqi Ikhlasi, Amry Muhammad, Lutfi Zulkarnain, Dwi Angga Nurfaisal, Viona Virinica   +4 more
openalex   +2 more sources

Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks

, 2020
Taehyeon Kim, Jieun Lee, Yoonsik Choe
openalex   +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

Fault diagnosis for mechanical system using dynamic Bayesian network

, 2021
Tian Yang Pang, Tian Yu, Bi Feng Song
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

A hybrid approach combining Bayesian networks and logistic regression for enhancing risk assessment. [PDF]

Sci Rep
Wei X, Dong Y.
europepmc   +1 more source

Data Analysis with Bayesian Networks: A Bootstrap Approach [PDF]

, 2013
Nir Friedman, Moisés Goldszmidt, Abraham J. Wyner   +2 more
openalex   +1 more source