Abstract: In this study, a Bayesian network method was utilized to establish a Bayesian network model, determine the relative importance of key influencing factors of the old residential communities ...

Objective: Based on the Bayesian network, this study investigates the impact pathways of multidimensional factors related to the living environment—specifically housing factors, exposure to daily ...

1 Faculty for Physical Education, Shanghai International Studies University, Shanghai, China 2 Faculty for Basic Education, Shanghai Institute of Visual Arts, Shanghai, China Objective: To ...

aDepartment of Emergency, Udine University Hospital, Azienda Sanitaria Universitaria Friuli Centrale (ASU FC), 33100, Udine, Italy ...

Cross-sectional network analysis was employed to explore the complex relationships between depression, anxiety, insomnia, somatic symptoms, childhood trauma, self-esteem, social support, and emotional ...

Kentaro Matsuura (2022). Bayesian Statistical Modeling with Stan, R, and Python. Singapore: Springer. URL: https://link.springer.com/book/10.1007/978-981-19-4755-1 ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Objectives To systematically compare the effects of various antithrombotic strategies on prespecified outcomes including 28-day all-cause mortality (primary outcome), major thrombotic events and major ...

I am running a Bayesian network analysis in JASP and have calculated the centrality measures (Expected Influence, Closeness and Betweenness). However, I would also like to obtain the confidence ...

This research develops a novel cross-disciplinary framework that bridges financial systemic risk modeling with supply chain network analysis to advance resilience assessment and policy guidance. The ...