109 citations · 154 across the 4 of their papers we have counts for
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physics.data-an2016★ 45 cited
ICON: an adaptation of infinite HMMs for time traces with drift
Ioannis Sgouralis, Steve Presse
Bayesian nonparametric methods have recently transformed emerging areas within data science. One such promising method, the infinite hidden Markov model (iHMM), generalizes the HMM…
physics.data-an2016★ 109 cited
An introduction to infinite HMMs for single molecule data analysis
Ioannis Sgouralis, Steve Presse
The hidden Markov model (HMM) has been a workhorse of single molecule data analysis and is now commonly used as a standalone tool in time series analysis or in conjunction with oth…