Structure Learning and Mixed Radix representation in Continuous Time Bayesian Networks

J. Hallgren · 2016

Continuous time Bayesian Networks (CTBNs) are graphical representations of the dependence structures between continuous time random processes with finite state spaces. We propose a method for learn ...

Read the paper · More papers on PaperTik