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WideArea Traffic: The Failure of Poisson Modeling
 IEEE/ACM TRANSACTIONS ON NETWORKING
, 1995
"... Network arrivals are often modeled as Poisson processes for analytic simplicity, even though a number of traffic studies have shown that packet interarrivals are not exponentially distributed. We evaluate 24 widearea traces, investigating a number of widearea TCP arrival processes (session and con ..."
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Cited by 1775 (24 self)
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Network arrivals are often modeled as Poisson processes for analytic simplicity, even though a number of traffic studies have shown that packet interarrivals are not exponentially distributed. We evaluate 24 widearea traces, investigating a number of widearea TCP arrival processes (session
Some simple effective approximations to the 2Poisson model for probabilistic weighted retrieval
 In Proceedings of SIGIR’94
, 1994
"... The 2–Poisson model for term frequencies is used to suggest ways of incorporating certain variables in probabilistic models for information retrieval. The variables concerned are withindocument term frequency, document length, and withinquery term frequency. Simple weighting functions are develope ..."
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Cited by 460 (14 self)
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The 2–Poisson model for term frequencies is used to suggest ways of incorporating certain variables in probabilistic models for information retrieval. The variables concerned are withindocument term frequency, document length, and withinquery term frequency. Simple weighting functions
Poisson model
"... depremselliğini araştırmak için GutenbergRichter magnitüdfrekans ilişkisi, sismik risk ve tekrarlanma peryodu hesaplanmıştır. Çözümlemede 1900 öncesi tarihsel dönem (I0 ≥ 5.0 şiddet değerleri MS ≥ 4.4 magnitüdlerine karşılık gelmektedir) ve 2007’ye kadar olan aletsel dönem (MS ≥ 4.0) deprem verile ..."
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depremselliğini araştırmak için GutenbergRichter magnitüdfrekans ilişkisi, sismik risk ve tekrarlanma peryodu hesaplanmıştır. Çözümlemede 1900 öncesi tarihsel dönem (I0 ≥ 5.0 şiddet değerleri MS ≥ 4.4 magnitüdlerine karşılık gelmektedir) ve 2007’ye kadar olan aletsel dönem (MS ≥ 4.0) deprem verileri kullanılmıştır. İnceleme alanı bölgenin sismotektonik özellikleri, levha tektoniği modelleri ve jeolojisi dikkate alınarak 15 altbölgeye ayrılmıştır ve tüm hesaplamalar bu altbölgeler için ayrı ayrı yapılmıştır. Elde edilen sonuçlara gore, hesaplanan magnitüdfrekans ilişkisindeki a ve b değerleri 3.10±0.245.29±0.52 and 0.39±0.030.73±0.08 aralığında bulunmuştur. En yüksek b değerleri 7. (Gökova KörfeziMuğlaGölhisar) ve 1. (İzmirSakız adası) altbölgeler için, en düşük bdeğerleri ise 15. (Antakya) ve 8. (Bodrumİstanköy) altbölgeler için bulunmuştur. Son olarak a ve b değerlerinden yararlanarak yapılan sismik risk ve tekrarlanma peryodları hesaplamaları en yüksek risklerin ve en kısa tekrarlanma peryodlarının en düşük b değerlerine sahip 15 ve 8.altbölgelerde olduğunu göstermiştir.
Poisson Model of Spike Generation
, 2000
"... ring rate to be very large at particular moments in time so that the probability of firing would then be arbitrarily close to 1. Certain features of neuronal firing, however, violate the independent spike hypothesis. Following the generation of an action potential, there is an interval of time know ..."
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Cited by 7 (0 self)
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potentials is clusters or bursts, and these tend to be poorly described a purely Poisson spikegeneration process. Below, I present ways of extending the Poisson model to account for refractoriness and bursting. 1 Probability and Random Processes A random variable is a number assigned to every outcome
The Bivariate 2Poisson model for IR
"... Harter’s 2Poisson model of Information Retrieval is a univariate model of the raw term frequencies, that does not condition the probabilities on document length [2]. A bivariate stochastic model is thus introduced to extend Harter’s 2Poisson model, by conditioning the term frequencies of the docum ..."
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Harter’s 2Poisson model of Information Retrieval is a univariate model of the raw term frequencies, that does not condition the probabilities on document length [2]. A bivariate stochastic model is thus introduced to extend Harter’s 2Poisson model, by conditioning the term frequencies
A Poisson model
, 2008
"... for earthquake frequency uncertainties in seismic hazard analysis ..."
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Cited by 1 (0 self)
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for earthquake frequency uncertainties in seismic hazard analysis
Poisson Surface Reconstruction
, 2006
"... We show that surface reconstruction from oriented points can be cast as a spatial Poisson problem. This Poisson formulation considers all the points at once, without resorting to heuristic spatial partitioning or blending, and is therefore highly resilient to data noise. Unlike radial basis function ..."
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Cited by 369 (5 self)
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We show that surface reconstruction from oriented points can be cast as a spatial Poisson problem. This Poisson formulation considers all the points at once, without resorting to heuristic spatial partitioning or blending, and is therefore highly resilient to data noise. Unlike radial basis
On a VlasovSchrödingerPoisson model
"... Weak solutions of a VlasovSchrödingerPoisson system are shown to exist in the stationary and timedependent situations. This system models the transport and interaction of electrons in a bidimensional electron gas. The particles are assumed to have a wave behaviour in the confinement directions (z ..."
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Cited by 13 (5 self)
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Weak solutions of a VlasovSchrödingerPoisson system are shown to exist in the stationary and timedependent situations. This system models the transport and interaction of electrons in a bidimensional electron gas. The particles are assumed to have a wave behaviour in the confinement directions
Electrostatics of Nanosystems: Application to microtubules and the ribosome
 Proc. Natl. Acad. Sci. USA
, 2001
"... Evaluation of the electrostatic properties of biomolecules has become a standard practice in molecular biophysics. Foremost among the models used to elucidate the electrostatic potential is the PoissonBoltzmann equation, however, existing methods for solving this equation have limited the scope ..."
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Cited by 476 (23 self)
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Evaluation of the electrostatic properties of biomolecules has become a standard practice in molecular biophysics. Foremost among the models used to elucidate the electrostatic potential is the PoissonBoltzmann equation, however, existing methods for solving this equation have limited the scope
Poisson models for extended target and group tracking
, 2005
"... It is common practice to represent a target group (or an extended target) as set of point sources and attempt to formulate a tracking filter by constructing possible assignments between measurements and the sources. We suggest an alternative approach that produces a measurement model (likelihood) in ..."
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Cited by 42 (9 self)
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) in terms of the spatial density of measurements over the sensor observation region. In particular, the measurements are modelled as a Poisson process with a spatially dependent rate parameter. This representation allows us to model extended targets as an intensity distribution rather than a set of points
Results 1  10
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