Bayesian Network Modeling Suggests Adolescent Cannabis Use Causes Accelerated Dorsal Prefrontal Thinning

2021 ◽  
Vol 89 (9) ◽  
pp. S324
Author(s):  
Max Owens ◽  
Matthew Albaugh ◽  
DeKang Yuan ◽  
Nicholas Allgaier ◽  
Anthony Juliano ◽  
...  
Water ◽  
2015 ◽  
Vol 7 (10) ◽  
pp. 5617-5637 ◽  
Author(s):  
Yusuyunjiang Mamitimin ◽  
Til Feike ◽  
Reiner Doluschitz

2007 ◽  
pp. 300-318
Author(s):  
Vipin Narang ◽  
Rajesh Chowdhary ◽  
Ankush Mittal ◽  
Wing-Kin Sung

A predicament that engineers who wish to employ Bayesian networks to solve practical problems often face is the depth of study required in order to obtain a workable understanding of this tool. This chapter is intended as a tutorial material to assist the reader in efficiently understanding the fundamental concepts involved in Bayesian network applications. It presents a complete step by step solution of a bioinformatics problem using Bayesian network models, with detailed illustration of modeling, parameter estimation, and inference mechanisms. Considerations in determining an appropriate Bayesian network model representation of a physical problem are also discussed.


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