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HUGIN Training Course Discussion / A list of questions (sorry about it)
« on: December 04, 2007, 01:37:03 »
Hello everyone,
I am a HUGIN newbie. As I am learning the new software, I am trying to figure out some things (which I could not find on the help file). I do apologize if the list of questions sounds too long.
1) Continuous nodes : is there a chance to have probability distributions other than Gaussian? If not, is there an automated way in Hugin to compute the coefficients of a linear combination of Gaussian distributions to approximate a non-Gaussian probability density function? Or anything at allo along those lines?
2) How can I perform parameter learning of a network parameters (with continuous node) from a data file of samples? What is the structure of the data file supposed to be? I think I was only able to find an example for discrite nodes.
3) Any implementation of Monte-Carlo-Markov-Chains in the software?
4a) Where can I read more about the batch capabilities of Hugin?
4b) What if I want to investigate different scenarios of evidence, is it possible to automate the process?
4c) How are results saved on file?
5) When I create the network and execute (-lightning icon) I only see number up to the 2nd digit. How can I increase the accuracy (or display of digits)?
MANY MANY Thanks everyone!
I am a HUGIN newbie. As I am learning the new software, I am trying to figure out some things (which I could not find on the help file). I do apologize if the list of questions sounds too long.
1) Continuous nodes : is there a chance to have probability distributions other than Gaussian? If not, is there an automated way in Hugin to compute the coefficients of a linear combination of Gaussian distributions to approximate a non-Gaussian probability density function? Or anything at allo along those lines?
2) How can I perform parameter learning of a network parameters (with continuous node) from a data file of samples? What is the structure of the data file supposed to be? I think I was only able to find an example for discrite nodes.
3) Any implementation of Monte-Carlo-Markov-Chains in the software?
4a) Where can I read more about the batch capabilities of Hugin?
4b) What if I want to investigate different scenarios of evidence, is it possible to automate the process?
4c) How are results saved on file?
5) When I create the network and execute (-lightning icon) I only see number up to the 2nd digit. How can I increase the accuracy (or display of digits)?
MANY MANY Thanks everyone!