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dc.date.accessioned2013-11-21T11:03:29Z
dc.date.available2013-11-21T11:03:29Z
dc.date.issued2013en_US
dc.date.submitted2013-05-30en_US
dc.identifier.citationMogstad, Emil Kverneland. Mode Hunting and Density Estimation with the Focussed Information Criterion. Masteroppgave, University of Oslo, 2013en_US
dc.identifier.urihttp://hdl.handle.net/10852/37718
dc.description.abstractSilverman(1986) tells about a 'recent surge' of interest density estimation. One of the theories discussed in the book is the kernel estimate, presented in Rosenblatt(1956) and Parzen(1962). This project is about using parametric models for the same general purpose. Using normal distributions that are log expanded with orthogonal cosine functions, and the Focussed Information Criterion for sub model selection, we hope to compete with the kernel estimate as a general scheme for density estimation, and mode hunting.eng
dc.language.isoengen_US
dc.titleMode Hunting and Density Estimation with the Focussed Information Criterionen_US
dc.typeMaster thesisen_US
dc.date.updated2013-11-15en_US
dc.creator.authorMogstad, Emil Kvernelanden_US
dc.subject.nsiVDP::412en_US
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft.au=Mogstad, Emil Kverneland&rft.title=Mode Hunting and Density Estimation with the Focussed Information Criterion&rft.inst=University of Oslo&rft.date=2013&rft.degree=Masteroppgaveen_US
dc.identifier.urnURN:NBN:no-39742
dc.type.documentMasteroppgaveen_US
dc.identifier.duo181758en_US
dc.contributor.supervisorNils Lid Hjorten_US
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/37718/1/master.pdf
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/37718/2/MogstadEmilK-master.pdf


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