I'm interested in a method or set of methods that would allow to convert a random/stochastic markov chain into a stochastic/deterministic markov chain. But let me clarify my view.

Given a N states Markov chain, fully filled with nonnegative real random values, and where each row which sum up to 1. How can I remove/reduce the probability of jumps from state to state, such that the new Markov Chain present similarities with a Birth-Death process (Stochastic/deterministic) while maintening the behavior of the first chain e.g Steady State

Thanks in advance


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.