An approach for knowledge acquisition from a survey data by conducting Bayesian network modeling, adopting the robust coplot method
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Publication:5056935
DOI10.1080/02664763.2021.1971631OpenAlexW3197994717MaRDI QIDQ5056935
Yasemin Kayhan Atilgan, Derya Ersel
Publication date: 8 December 2022
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2021.1971631
variable eliminationBayesian networkstructural learninggraphical visualizationrobust coplot analysis
Uses Software
Cites Work
- Latent variable selection in structural equation models
- A variable selection method based on Tabu search for logistic regression models
- Causation, prediction, and search
- Variable selection for structural equation with endogeneity
- Learning Bayesian network parameters under incomplete data with domain knowledge
- Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
- Robust Coplot Analysis
- Variable Selection in Logistic Regression Models
- Bayesian Networks and Decision Graphs
- 10.1162/153244303321897717
- Bayesian networks of customer satisfaction survey data
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