ICON: An Adaptation of Infinite HMMs for Time Traces with Drift.

Abstract

Bayesian nonparametric methods have recently transformed emerging areas within data science. One such promising method, the infinite hidden Markov model (iHMM), generalizes the HMM that itself has become a workhorse in single molecule data analysis. The iHMM goes beyond the HMM by self-consistently learning all parameters learned by the HMM in addition to… (More)
DOI: 10.1016/j.bpj.2017.04.009

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