Adding events to a Markov Model using DICE simulation
Discretely integrated condition event (DICE) simulation provides for both aspects that persist over time ('conditions') and for those happening at a point in time ('events'). A Markov model can be specified in DICE by representing states as conditions with a recurrent transition event processing transition probabilities, and other events added explicitly
Attached Files
File
0272989X17715636
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 779312
This project has received funding from the European Union’s Horizon 2020
Adding events to a Markov Model using DICE simulation
Discretely integrated condition event (DICE) simulation provides for both aspects that persist over time ('conditions') and for those happening at a point in time ('events'). A Markov model can be specified in DICE by representing states as conditions with a recurrent transition event processing transition probabilities, and other events added explicitly
Attached Files