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» Compound Poisson Approximation via Information Functionals
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CORR
2010
Springer
40views Education» more  CORR 2010»
13 years 5 months ago
Compound Poisson Approximation via Information Functionals
A. D. Barbour, Oliver Johnson, Ioannis Kontoyianni...
ICML
2009
IEEE
14 years 6 months ago
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
Ryan Prescott Adams, Iain Murray, David J. C. MacK...
BMCBI
2005
116views more  BMCBI 2005»
13 years 5 months ago
SuperLigands - a database of ligand structures derived from the Protein Data Bank
Background: Currently, the PDB contains approximately 29,000 protein structures comprising over 70,000 experimentally determined three-dimensional structures of over 5,000 differe...
Elke Michalsky, Mathias Dunkel, Andrean Goede, Rob...
IMC
2007
ACM
13 years 6 months ago
On optimal probing for delay and loss measurement
Packet delay and loss are two fundamental measures of performance. Using active probing to measure delay and loss typically involves sending Poisson probes, on the basis of the PA...
François Baccelli, Sridhar Machiraju, Darry...
IOR
2008
104views more  IOR 2008»
13 years 5 months ago
Arrival Rate Approximation by Nonnegative Cubic Splines
Estimating the arrival rate function of a non-homogeneous Poisson process based on observed arrival data is a problem naturally arising in many applications. Cubic spline function...
Farid Alizadeh, Jonathan Eckstein, Nilay Noyan, G&...