Consistently Estimating Markov Chains with Noisy Aggregate Data

Garrett Bernstein, Daniel Sheldon

Abstract: We address the problem of estimating the parameters of a time-homogeneous Markov chain given only noisy, aggregate data. This arises when a population of individuals behave independently according ...