66 citations · 115 across the 3 of their papers we have counts for
3 papers
Bayesian Structural Inference for Hidden Processes
Christopher C. Strelioff, James P. Crutchfield
We introduce a Bayesian approach to discovering patterns in structurally complex processes. The proposed method of Bayesian Structural Inference (BSI) relies on a set of candidate…
Inferring Markov Chains: Bayesian Estimation, Model Comparison, Entropy Rate, and Out-of-class Modeling
Christopher C. Strelioff, James P. Crutchfield, Alfred W. Hubler
Markov chains are a natural and well understood tool for describing one-dimensional patterns in time or space. We show how to infer -th order Markov chains, for arbitrary , f…
How Random is a Coin Toss? Bayesian Inference and the Symbolic Dynamics of Deterministic Chaos
Christopher C. Strelioff, James P. Crutchfield
Symbolic dynamics has proven to be an invaluable tool in analyzing the mechanisms that lead to unpredictability and random behavior in nonlinear dynamical systems. Surprisingly, a…