Continuous variables & gaussian states
Continuous variables & gaussian states
Hello all,
I have a couple of questions that might be a bit simple, but that I don't understand very well.
1. How can I use continuous variables in my DBN in Genie?
2. And second, is there any way of having a probability density function, let's say a Gaussian, defining the conditional probability between two or more nodes?
Thank you very much for your help.
Kind regards,
Oscar
I have a couple of questions that might be a bit simple, but that I don't understand very well.
1. How can I use continuous variables in my DBN in Genie?
2. And second, is there any way of having a probability density function, let's say a Gaussian, defining the conditional probability between two or more nodes?
Thank you very much for your help.
Kind regards,
Oscar
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Re: Continuous variables & gaussian states
I'm afraid we have not ported continuous variables to dynamic models yet . There are no theoretical reasons against it, so if you make a good case, we will push on it.
As far as your second question goes, I think it should be possible. If you tell me what precisely you want, I'll try to construct a model that does it.
Cheers,
Marek
As far as your second question goes, I think it should be possible. If you tell me what precisely you want, I'll try to construct a model that does it.
Cheers,
Marek
Re: Continuous variables & gaussian states
2. And second, is there any way of having a probability density function, let's say a Gaussian, defining the conditional probability between two or more nodes?
I think it s interesting question this one.
I think it s interesting question this one.
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Re: Continuous variables & gaussian states
There is. If you tell me what exactly you want, I will be glad to help . Cheers -- Marek
Re: Continuous variables & gaussian states
For exemple, it's the distribution of the two parameters that describe a normal distribution.
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Re: Continuous variables & gaussian states
Try constructing a model consisting of three continuous variables (green node with a wave), call them mu, sigma, and x. Then you can use the values of the variables called mu and sigma to parametrize the distribution of x (essentially, define x=Normal(mu,sigma)). I hope this helps.
Cheers,
Marek
Cheers,
Marek
Re: Continuous variables & gaussian states
Marek,
Your post shows my lack of the knowledge of Genie:
I don't know how to " define x=Normal(mu,sigma)".
Cheers.
Didier
Your post shows my lack of the knowledge of Genie:
I don't know how to " define x=Normal(mu,sigma)".
Cheers.
Didier
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Re: Continuous variables & gaussian states
Open the properties of node x, select the "Definition" page and type the equation "x=Normal(mu, sigma)". Next, press the OK button.Gardiola wrote:I don't know how to " define x=Normal(mu,sigma)".
Re: Continuous variables & gaussian states
Shooltz,
OK thanks for this.
I was just working on the learning of the structure for the the data first.
I totally ignored the decision dimensions so far.
I will start to work on this aspect from now: it looks very powerfull to make any decisions !!!
Cheers.
Didier
OK thanks for this.
I was just working on the learning of the structure for the the data first.
I totally ignored the decision dimensions so far.
I will start to work on this aspect from now: it looks very powerfull to make any decisions !!!
Cheers.
Didier
Re: Continuous variables & gaussian states
How can we combine plain chance nodes with equation nodes?
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Re: Continuous variables & gaussian states
Currently you can't do that. This feature is high on the to-do list.Bayesian wrote:How can we combine plain chance nodes with equation nodes?