109 citations · 154 across the 4 of their papers we have counts for
4 papers
Tensorized algorithms and scalable filtering methods for hidden Markov and factorial hidden Markov models
Roxana Barrios, Ioannis Sgouralis
A common method for the representation and analysis of time-series data is the hidden Markov model (HMM), where each observation is associated with a hidden state that evolves over…
Modeling Non-additive Effects in Neighboring Chemically Identical Fluorophores
Ayush Saurabh, Stefan Niekamp, Ioannis Sgouralis +1
Quantitative fluorescence analysis is often used to derive chemical properties, including stoichiometries, of biomolecular complexes. One fundamental underlying assumption in the a…
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…
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…