From: still_b0red@yahoo.com   
      
   On Feb 8, 2:02 pm, Tim  wrote:   
   > Are they the same thing? What's the difference?   
   > Thank you!   
   > Tim   
   >   
      
   Hey Tim, I wasn't sure if you were referring to graphical modeling as   
   in radiation modeling (or similar scientific application), or   
   something else. In my personal work I used to create graphical models   
   to predict behavior of given variables implementing Bayesian methods.   
   I'm not too familiar w/ random graphs, but here are 2 entries from   
   Wiki (one for random, one for models):   
      
   In probability theory and statistics, a graphical model (GM)   
   represents dependencies among random variables by a graph in which   
   each random variable is a node, and the edges between the nodes   
   represent conditional dependencies.   
      
   In mathematics, a random graph is a graph that is generated by some   
   random process. The theory of random graphs lies at the intersection   
   between graph theory and probability theory, and studies the   
   properties of typical random graphs.   
      
   I hope this helps!  :^)   
      
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