Results 31 to 40 of about 6,905,405 (185)
Evaluating Approximate Point Forecasting of Count Processes
Econometrics, 2019 In forecasting count processes, practitioners often ignore the discreteness of counts and compute forecasts based on Gaussian approximations instead.
Annika Homburg +4 more
doaj +1 more source
Deconvolution of point processes [PDF]
, 2012 The superposition of two independent point processes can be described by multiplication of their probability generating functionals (p.g.fl.s). The inverse operation, which can be viewed as a deconvolution, is defined by dividing the superposed process ...
Clark, Daniel Edward
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Two-point correlation properties of stochastic "cloud processes'' [PDF]
, 2007 We study how the two-point density correlation properties of a point particle distribution are modified when each particle is divided, by a stochastic process, into an equal number of identical "daughter" particles. We consider generically that there may
A. Gabrielli +10 more
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Large-Margin Determinantal Point Processes [PDF]
, 2014 Determinantal point processes (DPPs) offer a powerful approach to modeling diversity in many applications where the goal is to select a diverse subset.
Chao, Wei-lun +3 more
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Determinantal point processes with J-Hermitian correlation kernels [PDF]
, 2012 Let X be a locally compact Polish space and let m be a reference Radon measure on X. Let $\Gamma_X$ denote the configuration space over X, that is, the space of all locally finite subsets of X. A point process on X is a probability measure on $\Gamma_X$.
Lytvynov, Eugene
core +1 more source
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 +2 more sources
SHAPE FROM TEXTURE USING LOCALLY SCALED POINT PROCESSES
Image Analysis and Stereology, 2015 Shape from texture refers to the extraction of 3D information from 2D images with irregular texture. This paper introduces a statistical framework to learn shape from texture where convex texture elements in a 2D image are represented through a point ...
Eva-Maria Didden +3 more
doaj +1 more source
Hybrid marked point processes: characterisation, existence and uniqueness [PDF]
, 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
core +2 more sources
Point processes and stochastic displacement fields
, 2004 The effect of a stochastic displacement field on a statistically independent point process is analyzed. Stochastic displacement fields can be divided into two large classes: spatially correlated and uncorrelated.
Gabrielli, Andrea
core +1 more source
Realizability of Point Processes [PDF]
Journal of Statistical Physics, 2007 There are various situations in which it is natural to ask whether a given collection of $k$ functions, $ _j(\r_1,...,\r_j)$, $j=1,...,k$, defined on a set $X$, are the first $k$ correlation functions of a point process on $X$. Here we describe some necessary and sufficient conditions on the $ _j$'s for this to be true.
Kuna T., Lebowitz J. L., Speer E. R.
openaire +3 more sources