Learning Gaussian Bayesian Network from Censored Data Subject to Limit of Detection by the Structural EM Algorithm
A Bayesian network offers powerful knowledge representations for independence, conditional independence and causal relationships among variables in a given domain. Despite its wide application, the detection limits of modern measurement technologies make the use of the Bayesian networks theoreticall...
Saved in:
| Main Authors: | Ping-Feng Xu, Shanyi Lin, Qian-Zhen Zheng, Man-Lai Tang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/9/1482 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fitting Penalized Estimator for Sparse Covariance Matrix with Left-Censored Data by the EM Algorithm
by: Shanyi Lin, et al.
Published: (2025-01-01) -
Bayesian and Non-Bayesian Inference for the Trigonometric Extended Rayleigh-Weibull Model Under Progressively Censored Data
by: Ahmed R. El-Saeed, et al.
Published: (2025-01-01) -
Nonparametric Transformation Models for Double-Censored Data with Crossed Survival Curves: A Bayesian Approach
by: Ping Xu, et al.
Published: (2025-07-01) -
Classical Versus Bayesian Error-Controlled Sampling Under Lognormal Distributions with Type II Censoring
by: Huasen Zhou, et al.
Published: (2025-04-01) -
Bayesian Estimation of the Stress–Strength Parameter for Bivariate Normal Distribution Under an Updated Type-II Hybrid Censoring
by: Yu-Jau Lin, et al.
Published: (2025-02-01)