# Point process

## Papers overview

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Highly Cited

2016

Highly Cited

2016

- KDD
- 2016

Large volumes of event data are becoming increasingly available in a wide variety of applications, such as healthcare analyticsâ€¦Â (More)

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Highly Cited

2010

Highly Cited

2010

- SIAM J. Financial Math.
- 2010

This paper analyzes a family of multivariate point process models of correlated event timing whose arrival intensity is driven byâ€¦Â (More)

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Highly Cited

2010

Highly Cited

2010

- NIPS
- 2010

We present a novel probabilistic model for distributions over sets of structuresâ€” for example, sets of sequences, trees, orâ€¦Â (More)

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Highly Cited

2008

Highly Cited

2008

- 2008

A spatial point process is a random pattern of points in d-dimensional space (where usually d = 2 or d = 3 in applicationsâ€¦Â (More)

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Highly Cited

2007

Highly Cited

2007

- 2007

Several methods of generating series representat io s of a LÃ©vy process are presented under a unified approach and a newâ€¦Â (More)

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Highly Cited

2006

Highly Cited

2006

- 2006

We summarize and discuss the current state of spatial point process theory and directions for future research, making an analogyâ€¦Â (More)

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Highly Cited

2005

Highly Cited

2005

- 2005

spatstat is a package for analyzing spatial point pattern data. Its functionality includes exploratory data analysis, modelâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

- Neural Computation
- 2004

Neural receptive fields are dynamic in that with experience, neurons change their spiking responses to relevant stimuli. Toâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

- 2004

We define residuals for point process models fitted to spatial point pattern data, and propose diagnostic plots based on theseâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- Neural Computation
- 2003

A widely used signal processing paradigm is the state-space model. The state-space model is defined by two equations: anâ€¦Â (More)

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