A Parzen-based distance between probability measures as an alternative of summary statistics in Approximate Bayesian Computation

Zuluaga, C.D., Valencia, E.A., Álvarez, M.A. orcid.org/0000-0002-8980-4472 et al. (1 more author) (2015) A Parzen-based distance between probability measures as an alternative of summary statistics in Approximate Bayesian Computation. In: Image Analysis and Processing — ICIAP 2015. 18th International Conference, September 7-11, 2015, Genoa, Italy. Lecture Notes in Computer Science (9279). Springer , pp. 50-61. ISBN 978-3-319-23230-0

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Copyright, Publisher and Additional Information: © 2015 Springer. This is an author produced version of a paper subsequently published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at Springer via https://doi.org/10.1007/978-3-319-23231-7_5
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  • Published (online): 21 August 2015
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 15 Aug 2017 15:51
Last Modified: 21 Mar 2018 06:10
Published Version: https://doi.org/10.1007/978-3-319-23231-7_5
Status: Published
Publisher: Springer
Series Name: Lecture Notes in Computer Science
Refereed: Yes
Identification Number: https://doi.org/10.1007/978-3-319-23231-7_5
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