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CEC
2003
IEEE
13 years 10 months ago
Stochastic neural network models for gene regulatory networks
AbstractRecent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of geno...
Tianhai Tian, Kevin Burrage
CORR
2007
Springer
126views Education» more  CORR 2007»
13 years 5 months ago
Interference and Outage in Clustered Wireless Ad Hoc Networks
—In the analysis of large random wireless networks, the underlying node distribution is almost ubiquitously assumed to be the homogeneous Poisson point process. In this paper, th...
Radha Krishna Ganti, Martin Haenggi
EOR
2011
124views more  EOR 2011»
13 years 13 days ago
Analysis of order-up-to-level inventory systems with compound Poisson demand
: We analyse a single echelon single item inventory system where the demand and the lead time are stochastic. Demand is modelled as a compound Poisson process and the stock is cont...
M. Zied Babai, Zied Jemaï, Yves Dallery
CIMAGING
2009
145views Hardware» more  CIMAGING 2009»
13 years 6 months ago
Wavelet-based Poisson rate estimation using the Skellam distribution
Owing to the stochastic nature of discrete processes such as photon counts in imaging, real-world data measurements often exhibit heteroscedastic behavior. In particular, time ser...
Keigo Hirakawa, Farhan A. Baqai, Patrick J. Wolfe
BMCBI
2006
151views more  BMCBI 2006»
13 years 5 months ago
Modeling Sage data with a truncated gamma-Poisson model
Background: Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample. This means t...
Helene H. Thygesen, Aeilko H. Zwinderman