Results 41 to 50 of about 2,877,510 (222)
Residuals and goodness-of-fit tests for stationary marked Gibbs point processes [PDF]
, 2010 The inspection of residuals is a fundamental step to investigate the quality of adjustment of a parametric model to data. For spatial point processes, the concept of residuals has been recently proposed by Baddeley et al.
Andersen +33 more
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Prediction of user temporal interactions with online course platforms using deep learning algorithms
Computers and Education: Artificial Intelligence, 2023 The analysis of learning interactions during online studying is a necessary task for designing online courses and sequencing key interactions, which enables online learning platforms to provide users with more efficient and personalized service. However,
Junru Ren, Shaomin Wu
doaj +1 more source
A Two-Layer Marked Point Process Framework for Multilevel Object Population Analysis [PDF]
, 2013 In this paper we introduce a probabilistic approach for extracting object ensembles from various digital images used by machine vision applications.
Benedek, Csaba
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Invariance principle for Mott variable range hopping and other walks on point processes [PDF]
, 2010 We consider a random walk on a homogeneous Poisson point process with energy marks. The jump rates decay exponentially in the A-power of the jump length and depend on the energy marks via a Boltzmann--like factor.
Caputo, P., Faggionato, A., Prescott, T.
core +3 more sources
LIBRJMCMC: AN OPEN-SOURCE GENERIC C++ LIBRARY FOR STOCHASTIC OPTIMIZATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 The librjmcmc is an open source C++ library that solves optimization problems using a stochastic framework. The library is primarily intended for but not limited to research purposes in computer vision, photogrammetry and remote sensing, as it
M. Brédif, O. Tournaire, O. Tournaire
doaj +1 more source
Random walks in a one-dimensional L\'evy random environment [PDF]
, 2016 We consider a generalization of a one-dimensional stochastic process known in the physical literature as L\'evy-Lorentz gas. The process describes the motion of a particle on the real line in the presence of a random array of marked points, whose nearest-
Bianchi, Alessandra +3 more
core +2 more sources
A Versatile Stochastic Duel Game
Mathematics, 2020 This paper deals with a standard stochastic game model with a continuum of states under the duel-type setup. It newly proposes a hybrid model of game theory and the fluctuation process, which could be applied for various practical decision making ...
Song-Kyoo (Amang) Kim
doaj +1 more source
Bias-Correction and Test for Mark-Point Dependence with Replicated Marked Point Processes
Journal of the American Statistical Association, 2022 Mark-point dependence plays a critical role in research problems that can be fitted into the general framework of marked point processes. In this work, we focus on adjusting for mark-point dependence when estimating the mean and covariance functions of the mark process, given independent replicates of the marked point process.
Ganggang Xu +3 more
openaire +2 more sources
Catastrophe Insurance Modeled by Shot-Noise Processes
Risks, 2014 Shot-noise processes generalize compound Poisson processes in the following way: a jump (the shot) is followed by a decline (noise). This constitutes a useful model for insurance claims in many circumstances; claims due to natural disasters or self ...
Thorsten Schmidt
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Neural Spectral Marked Point Processes
, 2021 Self- and mutually-exciting point processes are popular models in machine learning and statistics for dependent discrete event data. To date, most existing models assume stationary kernels (including the classical Hawkes processes) and simple parametric models.
Zhu, Shixiang +4 more
openaire +2 more sources