Equation Model

[cpm827]

Hello! I have an equation model which i will like to convert into a dynamic Bayesian network, is this possible in GeNIe ?

[marek [BayesFusion]]

Not quite yet but please stay tuned -- we should have it later this year. At the moment, what you can do is create a static hybrid model (i.e., with equation nodes) that has variables at time t and then t-1 (assuming links of the first order). Once you have that, you can use your static model for generation of CPTs for your DBN. Please find enclosed two models that I used to implement a discrete dynamic predator-prey model involving Lotka-Volterra equations. I generated the CPTs in the static model and just copied and pasted them into the DBN. I hope this helps. If you give us some months, we will have DBNs that have equation nodes within them.
Cheers,

Marek

[ccorreaf]

Hello,

I would like to confirm whether temporal nodes can be defined using equations in PySmile. For illustration:
b{0} = a
b{t+1} = b{t} + c{t} + d{t}, where a, c, and d follow Uniform distributions.

While developing a model, I noted the function:
set_node_temporal_equations(node: int | str, equations: List[str])

During execution, an error occurred. Could you clarify the format in which these temporal equations should be provided? In Genie, a new line is added for each temporal equation

Is there an example available for reference?

Thank you very much.