So sánh phương pháp

	Mạng Bayes	Phân tích sống còn
Lĩnh vực	Bayes	Thống kê nghiên cứu
Họ	Bayesian methods	Process / pipeline
Năm ra đời	1988	1958
Người khởi xướng	Judea Pearl	Edward L. Kaplan and Paul Meier
Loại	Probabilistic graphical model	Method
Công trình gốc	Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann. ISBN: 978-1558604797	Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282), 457–481.
Tên gọi khác	Bayes network, belief network, probabilistic graphical model, directed graphical model	Kaplan-Meier analysis, Cox regression, TTE analysis
Liên quan	4	3
Tóm tắt	A Bayesian network is a probabilistic graphical model, introduced by Judea Pearl in 1988, that encodes a set of variables and their conditional dependencies as a directed acyclic graph (DAG). Each node represents a variable; each directed edge encodes a direct probabilistic influence. By combining Bayes' rule with the graph's conditional independence structure, the model supports reasoning under uncertainty — computing the probability of any variable given observed evidence about others.	Survival analysis is a collection of statistical methods for modeling time from a defined starting point until an event of interest occurs (disease, recovery, death, equipment failure). Kaplan and Meier's nonparametric estimator (1958) and David Cox's proportional hazards model (1972) jointly enabled analysis of censored data—individuals whose event times are unknown because they left the study or were still event-free at follow-up. Indispensable in oncology, cardiology, infectious disease research, engineering reliability, and any field where time-to-event matters.