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Stability of temporal statistics in Transition Path Theory with sparse data

Stability of temporal statistics in Transition Path Theory with sparse data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2774005757

Stability of temporal statistics in Transition Path Theory with sparse data

About this item

Full title

Stability of temporal statistics in Transition Path Theory with sparse data

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2023-01

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Transition Path Theory (TPT) provides a rigorous statistical characterization of the ensemble of trajectories connecting directly, i.e., without detours, two disconnected (sets of) states in a Markov chain, a stochastic process that undergoes transitions from one state to another with probability depending on the state attained in the previous step...

Alternative Titles

Full title

Stability of temporal statistics in Transition Path Theory with sparse data

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2774005757

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2774005757

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2302.02806

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