5 search results - page 1 / 1 » Markov models for digraph panel data: Monte Carlo-based deri... |
CSDA
2007
13 years 4 months ago
2007
A parametric, continuous-time Markov model for digraph panel data is considered. The parameter is estimated by the method of moments. A convenient method for estimating the varian...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper addresses the problem of estimating the statistical distribution of multiple-tissue non-stationary ultrasound images of skin. The distribution of multiple-tissue images...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper proposes a Bayesian algorithm to estimate the parameters of a smooth transition regression model. With in this model, time series are divided into segments and a linear...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper studies a variational Bayesian unmixing algorithm for hyperspectral images based on the standard linear mixing model. Each pixel of the image is modeled as a linear com...
IPMI
2009
Springer
14 years 5 months ago
2009
Springer
This paper presents a method for estimating uncertainty in MRI-based brain region delineations provided by fully-automated segmentation methods. In large data sets, the uncertainty...