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WCE
2007
13 years 5 months ago
Recursive Linear Estimation for Doubly Stochastic Poisson Processes
Abstract— The problem of estimating the intensity process of a doubly stochastic Poisson process is analyzed. Using covariance information, a recursive linear minimum mean-square...
Rosa M. Fernández-Alcalá, Jesú...
TIT
2008
95views more  TIT 2008»
13 years 4 months ago
Mutual Information and Conditional Mean Estimation in Poisson Channels
Abstract--Following the discovery of a fundamental connection between information measures and estimation measures in Gaussian channels, this paper explores the counterpart of thos...
Dongning Guo, Shlomo Shamai, Sergio Verdú
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...
CDC
2008
IEEE
148views Control Systems» more  CDC 2008»
13 years 10 months ago
Recursive state estimation for linear systems with mixed stochastic and set-bounded disturbances
Abstract— Recursive state estimation is considered for discrete time linear systems with mixed process and measurement disturbances that have stochastic and (convex) set-bounded ...
Toivo Henningsson
NIPS
2003
13 years 5 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