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CSDA
2006
155views more  CSDA 2006»
13 years 4 months ago
Modelling the mean of a doubly stochastic Poisson process by functional data analysis
A new procedure for estimating the mean process of a doubly stochastic Poisson process is introduced. The proposed estimation is based on monotone piecewise cubic interpolation of...
P. R. Bouzas, Mariano J. Valderrama, Ana M. Aguile...
ICASSP
2009
IEEE
13 years 11 months ago
SkellamShrink: Poisson intensity estimation for vector-valued data
Owing to the stochastic nature of discrete processes such as photon counts in imaging, a variety of real-world data are well modeled as Poisson random variables whose means are in...
Keigo Hirakawa, Patrick J. Wolfe
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 4 months ago
Connectivity in Sub-Poisson Networks
: We consider a class of point processes, which we call sub-Poisson; these are point processes that can be directionallyconvexly (dcx) dominated by some Poisson point process. The ...
Bartlomiej Blaszczyszyn, D. Yogeshwaran
QUESTA
2006
94views more  QUESTA 2006»
13 years 4 months ago
Modeling teletraffic arrivals by a Poisson cluster process
In this paper we consider a Poisson cluster process N as a generating process for the arrivals of packets to a server. This process generalizes in a more realistic way the infinite...
Gilles Faÿ, Bárbara González-Ar...