Editing Graphical model (section)

===Books and book chapters===
*{{cite book
 | last = Barber
 | first = David
 | title = Bayesian Reasoning and Machine Learning
 | publisher = Cambridge University Press
 | year = 2012
 | isbn = 978-0-521-51814-7
}}

* {{cite book
 | last = Bishop
 | first = Christopher M.
 | author-link = Christopher Bishop
 | title = Pattern Recognition and Machine Learning
 | publisher = Springer
 | year = 2006
 | url = https://www.springer.com/us/book/9780387310732
 | isbn=978-0-387-31073-2
 | chapter= Chapter 8. Graphical Models
 | chapter-url=https://www.microsoft.com/en-us/research/wp-content/uploads/2016/05/Bishop-PRML-sample.pdf
 | pages=359–422
 | mr=2247587
}}
* {{cite book
 |author=Cowell, Robert G.
 |author2=Dawid, A. Philip |author3=Lauritzen, Steffen L. |author4-link=David Spiegelhalter |author4=Spiegelhalter, David J.
 |title=Probabilistic networks and expert systems |publisher=Springer |location=Berlin |year=1999 |isbn=978-0-387-98767-5 |mr=1697175 |ref=cowell |author2-link=Philip Dawid }} A more advanced and statistically oriented book
* {{cite book |author=Jensen, Finn |title=An introduction to Bayesian networks |publisher=Springer |location=Berlin |year=1996 |isbn=978-0-387-91502-9 }}
* {{Cite book
 |first=Judea |last=Pearl |author-link = Judea Pearl
 | year = 1988
 | title = Probabilistic Reasoning in Intelligent Systems
 |url=https://archive.org/details/probabilisticrea00pear |url-access=registration | edition = 2nd revised
 | location = San Mateo, CA
 | publisher = [[Morgan Kaufmann]]
 | mr = 0965765
 |isbn = 978-1-55860-479-7
}} A computational reasoning approach, where the relationships between graphs and probabilities were formally introduced.