Point process

Known as: Conditional intensity function, Intensity function, Point process theory 
In statistics and probability theory, a point process is a type of random process for which any one realisation consists of a set of isolated points… (More)
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Highly Cited
2016
Highly Cited
2016
Large volumes of event data are becoming increasingly available in a wide variety of applications, such as healthcare analytics… (More)
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Highly Cited
2010
Highly Cited
2010
This paper analyzes a family of multivariate point process models of correlated event timing whose arrival intensity is driven by… (More)
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Highly Cited
2010
Highly Cited
2010
We present a novel probabilistic model for distributions over sets of structures— for example, sets of sequences, trees, or… (More)
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Highly Cited
2008
Highly Cited
2008
A spatial point process is a random pattern of points in d-dimensional space (where usually d = 2 or d = 3 in applications… (More)
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Highly Cited
2007
Highly Cited
2007
Several methods of generating series representat io s of a Lévy process are presented under a unified approach and a new… (More)
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Highly Cited
2006
Highly Cited
2006
We summarize and discuss the current state of spatial point process theory and directions for future research, making an analogy… (More)
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Highly Cited
2005
Highly Cited
2005
spatstat is a package for analyzing spatial point pattern data. Its functionality includes exploratory data analysis, model… (More)
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Highly Cited
2004
Highly Cited
2004
Neural receptive fields are dynamic in that with experience, neurons change their spiking responses to relevant stimuli. To… (More)
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Highly Cited
2004
Highly Cited
2004
We define residuals for point process models fitted to spatial point pattern data, and propose diagnostic plots based on these… (More)
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Highly Cited
2003
Highly Cited
2003
A widely used signal processing paradigm is the state-space model. The state-space model is defined by two equations: an… (More)
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