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» Fractional Processes: from Poisson to Branching One
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CDC
2010
IEEE
107views Control Systems» more  CDC 2010»
14 years 4 months ago
Deployment of an unreliable robotic sensor network for spatial estimation
This paper studies an optimal deployment problem for a network of robotic sensors moving in the real line. Given a spatial process of interest, each individual sensor sends a pack...
Jorge Cortes
RSA
2011
124views more  RSA 2011»
14 years 4 months ago
Sparse random graphs with clustering
In 2007 we introduced a general model of sparse random graphs with independence between the edges. The aim of this paper is to present an extension of this model in which the edge...
Béla Bollobás, Svante Janson, Oliver...
CORR
2010
Springer
138views Education» more  CORR 2010»
14 years 6 months ago
Rules of Thumb for Information Acquisition from Large and Redundant Data
We develop an abstract model of information acquisition from redundant data. We assume a random sampling process from data which contain information with bias and are interested in...
Wolfgang Gatterbauer
NIPS
2003
14 years 10 months ago
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear filtering process is followed by a nonlinear, probabilistic spiking stag...
Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
TIT
2008
119views more  TIT 2008»
14 years 9 months ago
Asymptotic Properties of the Detrended Fluctuation Analysis of Long-Range-Dependent Processes
In the past few years, a certain number of authors have proposed analysis methods of the time series built from a long range dependence noise. One of these methods is the Detrended...
Jean-Marc Bardet, Imen Kammoun