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A host of methods exist to estimate the history-dependent lengths of memory which characterize these models and to predict new sequences. In several applications, the data-generating mechanism is known to be reversible, but combining this information with the procedures mentioned is far from trivial. We introduce a Bayesian analysis for reversible dynamics, which takes into account uncertainty in the lengths of memory. The model proposed is applied to the analysis of molecular dynamics simulations and compared with several popular algorithms.<\/jats:p>","DOI":"10.1111\/rssb.12140","type":"journal-article","created":{"date-parts":[[2015,10,16]],"date-time":"2015-10-16T05:51:16Z","timestamp":1444974676000},"page":"933-946","source":"Crossref","is-referenced-by-count":3,"title":["Bayesian Regularization of the Length of Memory in Reversible Sequences"],"prefix":"10.1093","volume":"78","author":[{"given":"Sergio","family":"Bacallado","sequence":"first","affiliation":[{"name":"Stanford University \u00a0 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vijay","family":"Pande","sequence":"additional","affiliation":[{"name":"Stanford University \u00a0 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefano","family":"Favaro","sequence":"additional","affiliation":[{"name":"University of Turin and Collegio Carlo Alberto , Turin , Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lorenzo","family":"Trippa","sequence":"additional","affiliation":[{"name":"Dana\u2013Farber Cancer Institute , Boston , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2015,10,16]]},"reference":[{"key":"2023021709304619900_rssb12140-cit-0001","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1198\/tast.2010.09083","article-title":"Estimation in reversible markov chains","volume":"64","author":"Annis","year":"2010","journal-title":"Am. 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