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We develop a new Bayesian modelling framework for the class of higher-order, variable-memory Markov chains, and introduce an associated collection of methodological tools for exact inference with discrete time series. We...

Bayes Factors Bayesian context tree context tree weighting discrete time series exact Bayesian inference Markov Chain Monte Carlo Markov order estimation model selection PREDICTION

Recent theories have posited a range of cognitive risk factors for obsessive-compulsive disorder (OCD), including cognitive inflexibility and a maladaptive reliance on habits. However, empirical and methodological...

Bayes Factors Cognitive flexibility cognitive rigidity Habits individual differences interactions Obsessive-compulsive subclinical symptoms