Some filtering applications with observational anomaly detection and intractable likelihood models

Lampiri, Evangelia

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Field	Value	Language
dc.contributor.author	Lampiri, Evangelia
dc.date.accessioned	2019-05-13T04:20:32Z
dc.date.available	2019-05-13T04:20:32Z
dc.date.issued	2018
dc.identifier.uri	http://hdl.handle.net/10453/133344
dc.description	University of Technology Sydney. Faculty of Engineering and Information Technology.	en_AU
dc.description.abstract	NO FULL TEXT AVAILABLE. Access is restricted indefinitely.	en_AU
dc.format	Thesis (PhD)
dc.language.iso	en_AU	en_AU
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.title	Some filtering applications with observational anomaly detection and intractable likelihood models	en_AU
dc.type	Thesis	en_AU
utslib.copyright.status	embargoed

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