Modeling continuous-time stochastic processes using $\mathcal{N}$-Curve mixtures.

Ronny Hug Wolfgang Hübner Michael Arens

Published in: CoRR (2019)

Keyphrases

stochastic processes
stochastic models
stochastic process
markov processes
dynamic bayesian networks
probability distribution
random fields
random variables
continuous time bayesian networks
markov chain
brownian motion
similarity measure
information extraction
higher order
maximum entropy