Results 261 to 270 of about 523,565 (314)
ABSTRACT Parental stress influences parent–child interactions in typical development and is a prognostic factor of autism outcome. However, we still do not know to what extent parental stress affects parent–child interactions and whether caregiver role matters.
Maria Grazia Logrieco +11 more
wiley +1 more source
Comparison of the Efficacy of Different Traditional Chinese Exercises in the Treatment of Chronic Non-Specific Low Back Pain: A Bayesian Network Meta-Analysis. [PDF]
Huang M, Liu H, Zeng L, Chen J.
europepmc +1 more source
Comprehensive review of Bayesian network applications in gastrointestinal cancers. [PDF]
Zhang MN +6 more
europepmc +1 more source
Antibody-drug conjugates outperform chemotherapy in EGFR-TKI-resistant NSCLC: a Bayesian network meta-analysis. [PDF]
Chen Y +7 more
europepmc +1 more source
Comparison of Tocolytic Agents for Successful External Cephalic Version: A Bayesian Network Meta-Analysis of Sixteen Randomized Controlled Trials. [PDF]
Xiao Y, Shi J, Dong Y, Han L.
europepmc +1 more source
Bayesian network structure learning by opposition-based learning. [PDF]
Sun B, Zhang X, Jiang J, Gong J, Lin D.
europepmc +1 more source
Comparative Efficacy of Needling and Non-Needling Therapies for Temporomandibular Disorders: A Bayesian Network Meta-Analysis. [PDF]
Ding X, Liao S, Li T, Qu W, Nie M.
europepmc +1 more source
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WIREs Computational Statistics, 2009
AbstractBayesian networks are defined, and the chain rule for Bayesian networks is stated. Outlines of algorithms provided: inference in Bayesian networks, sensitivity analysis, EM for parameter learning, and learning structure. Copyright © 2009 John Wiley & Sons, Inc.This article is categorized under:Statistical and Graphical Methods of Data ...
Peek, N., Verduijn, M.
+7 more sources
AbstractBayesian networks are defined, and the chain rule for Bayesian networks is stated. Outlines of algorithms provided: inference in Bayesian networks, sensitivity analysis, EM for parameter learning, and learning structure. Copyright © 2009 John Wiley & Sons, Inc.This article is categorized under:Statistical and Graphical Methods of Data ...
Peek, N., Verduijn, M.
+7 more sources
Academic Radiology, 2005
A Bayesian network is a graphical model that finds probabilistic relationships among variables of a system. The basic components of a Bayesian network include a set of nodes, each representing a unique variable in the system, their inter-relations, as indicated graphically by edges, and associated probability values.
Ahmad Bashir, Latifur Khan, Mamoun Awad
openaire +2 more sources
A Bayesian network is a graphical model that finds probabilistic relationships among variables of a system. The basic components of a Bayesian network include a set of nodes, each representing a unique variable in the system, their inter-relations, as indicated graphically by edges, and associated probability values.
Ahmad Bashir, Latifur Khan, Mamoun Awad
openaire +2 more sources

