Discrete or Continuous variables? Influence or BBN on Genie? Theoretical backup

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viliop
Posts: 8
Joined: Mon Apr 23, 2018 6:28 am

Discrete or Continuous variables? Influence or BBN on Genie? Theoretical backup

Post by viliop » Wed May 09, 2018 4:11 pm

I developed a BBN of natural resources management variables with discrete variables> Could you guide me about a paper or sth for the differences and utilities of discrete_continuous variables and the BBN_influence diagramms_learning algorithms ?

viliop
Posts: 8
Joined: Mon Apr 23, 2018 6:28 am

Re: Discrete or Continuous variables? Influence or BBN on Genie? Theoretical backup

Post by viliop » Wed May 09, 2018 9:38 pm

dear administrators please guide me, my PhD depends on genie .

marek [BayesFusion]
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Re: Discrete or Continuous variables? Influence or BBN on Genie? Theoretical backup

Post by marek [BayesFusion] » Tue May 15, 2018 3:11 pm

Dear Viliop,

I'm not sure I understand your question, so let me try to answer what I do understand. Discrete variables are generally approximations of continuous variables. Whenever precision is not at stake or the variable can be naturally expressed in discrete terms, I would suggest discrete variables.
As far as I know, there are no algorithms for learning influence diagrams -- all algorithms are trying to learn the world in terms of a (causal) graph expressed by a Bayesian network. Does this help?

Marek

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