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dc.contributor.authorWillett, Rebecca
Nowak, Robert David
dc.creatorWillett, Rebecca
Nowak, Robert David
dc.date.accessioned 2007-10-31T01:09:49Z
dc.date.available 2007-10-31T01:09:49Z
dc.date.issued 2002-05-20
dc.date.submitted 2002-05-20
dc.identifier.citation R. Willett and R. D. Nowak, "Multiresolution Nonparametric Intensity and Density Estimation," 2002.
dc.identifier.urihttps://hdl.handle.net/1911/20448
dc.description Conference Paper
dc.description.abstract This paper introduces a new multiscale method for nonparametric piecewise polynomial intensity and density estimation of point processes. Fast, piecewise polynomial, maximum penalized likelihood methods for intensity and density estimation are developed. The recursive partitioning scheme underlying these methods is based on multiscale likelihood factorizations which, unlike conventional wavelet decompositions, are very well suited to applications with point process data. Experimental results demonstrate that multiscale methods can outperform wavelet and kernel based density estimation methods.
dc.description.sponsorship Office of Naval Research
dc.description.sponsorship Army Research Office
dc.description.sponsorship National Science Foundation
dc.language.iso eng
dc.subjectPoisson
multiscale
kernel
wavelet
polynomial
dc.title Multiresolution Nonparametric Intensity and Density Estimation
dc.type Conference paper
dc.date.note 2001-11-26
dc.citation.bibtexName inproceedings
dc.date.modified 2001-11-26
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keywordPoisson
multiscale
kernel
wavelet
polynomial
dc.citation.conferenceName IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1109/ICASSP.2002.5744896


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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1278]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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