Hybrid marked point processes: characterisation, existence and uniqueness [PDF]
Market Microstructure and Liquidity, 2018 We introduce a class of hybrid marked point processes, which encompasses and extends continuous-time Markov chains and Hawkes processes. While this flexible class amalgamates such existing processes, it also contains novel processes with complex dynamics.
Morariu-Patrichi, Maxime +1 more
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An Embedded Marked Point Process Framework for Three-Level Object Population Analysis [PDF]
IEEE Transactions on Image Processing, 2017 In this paper we introduce a probabilistic approach for extracting complex hierarchical object structures from digital images used by various vision applications.
Benedek, Csaba
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The Annals of Statistics, 2007 In many contexts such as queuing theory, spatial statistics, geostatistics and meteorology, data are observed at irregular spatial positions. One model of this situation involves considering the observation points as generated by a Poisson process. Under
McElroy, Tucker, Politis, Dimitris N.
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Fingerprint Analysis with Marked Point Processes [PDF]
, 2014 We present a framework for fingerprint matching based on marked point process models. An efficient Monte Carlo algorithm is developed to calculate the marginal likelihood ratio for the hypothesis that two observed prints originate from the same finger ...
Forbes, Peter G. M. +2 more
core +7 more sources
Backward stochastic differential equation driven by a marked point process: An elementary approach with an application to optimal control [PDF]
, 2016 We address a class of backward stochastic differential equations on a bounded interval, where the driving noise is a marked, or multivariate, point process.
Confortola, Fulvia +2 more
core +4 more sources
Moving Target Analysis in ISAR Image Sequences with a Multiframe Marked Point Process Model [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2014 In this paper we propose a Multiframe Marked Point Process model of line segments and point groups for automatic target structure extraction and tracking in Inverse Synthetic Aperture Radar (ISAR) image sequences.
Benedek, Csaba, Martorella, M
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PtProcess: An R Package for Modelling Marked Point Processes Indexed by Time [PDF]
Journal of Statistical Software, 2010 This paper describes the package PtProcess which uses the R statistical language. The package provides a unified approach to fitting and simulating a wide variety of temporal point process or temporal marked point process models. The models are specified
David Harte
doaj +1 more source
A leptin-based Bayesian inference of a pro-satiety state reflects a basal circadian rhythm in women with obesity [PDF]
Frontiers in EndocrinologyIntroductionLeptin, primarily secreted by adipose tissue, is a critical hormone involved in regulating energy balance and food intake by inducing satiety.
Qing Xiang +2 more
doaj +2 more sources
Clusterless Decoding of Position from Multiunit Activity Using a Marked Point Process Filter. [PDF]
Neural Comput, 2015 Deng X +4 more
europepmc +2 more sources
Rescaling Marked Point Processes [PDF]
Australian <html_ent glyph="@amp;" ascii="&"/> New Zealand Journal of Statistics, 2004 From the authors' abstract: \textit{P.-A. Meyer} [in: Sém. Bourbaki 1968/69, No. 361, 245--259 (1971; Zbl 0273.60053)] showed how to use the compensator to rescale a multivariate point process, forming independent Poisson processes with intensity 1. Meyer's result has been generalized to multidimensional point processes.
David Vere-Jones +1 more
openaire +4 more sources