20 search results - page 1 / 4 » Tractable nonparametric Bayesian inference in Poisson proces... |
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
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...
TIP
2011
12 years 11 months ago
2011
—We propose a general methodology (PURE-LET) to design and optimize a wide class of transform-domain thresholding algorithms for denoising images corrupted by mixed Poisson–Gau...
ICCV
2009
IEEE
13 years 2 months ago
2009
IEEE
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
CSDA
2008
13 years 4 months ago
2008
In this paper we present the results of a simulation study to explore the ability of Bayesian parametric and nonparametric models to provide an adequate fit to count data, of the t...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
In this paper we present Poisson sum series representations for α-stable (αS) random variables and α-stable processes, in particular concentrating on continuous-time autoregres...