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An Asymptotic Theory of Joint Sequential Changepoint Detection and Identification for General Stocha...

An Asymptotic Theory of Joint Sequential Changepoint Detection and Identification for General Stocha...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2486136231

An Asymptotic Theory of Joint Sequential Changepoint Detection and Identification for General Stochastic Models

About this item

Full title

An Asymptotic Theory of Joint Sequential Changepoint Detection and Identification for General Stochastic Models

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2021-03

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

The paper addresses a joint sequential changepoint detection and identification/isolation problem for a general stochastic model, assuming that the observed data may be dependent and non-identically distributed, the prior distribution of the change point is arbitrary, and the post-change hypotheses are composite. The developed detection-identificat...

Alternative Titles

Full title

An Asymptotic Theory of Joint Sequential Changepoint Detection and Identification for General Stochastic Models

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2486136231

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2486136231

Other Identifiers

E-ISSN

2331-8422

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