Nonparametric Bayesian Segmentation of a Multivariate Inhomogeneous Space-Time Poisson Process
نویسندگان
چکیده
منابع مشابه
Nonparametric Bayesian Segmentation of Multivariate Inhomogeneous Space-Time Poisson Process
A nonparametric Bayesian model is proposed for segmenting time-evolving multivariate spatial point process data. An inhomogeneous Poisson process is assumed, with a logistic stick-breaking process (LSBP) used to encourage piecewise-constant spatial Poisson intensities. The LSBP explicitly favors spatially contiguous segments, and infers the number of segments based on the observed data. The tem...
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ژورنال
عنوان ژورنال: Bayesian Analysis
سال: 2012
ISSN: 1936-0975
DOI: 10.1214/12-ba727