80 search results - page 1 / 16 » Nonparametric density estimation for positive time series |
CSDA
2010
13 years 11 months ago
2010
The Gaussian kernel density estimator is known to have substantial problems for bounded random variables with high density at the boundaries. For i.i.d. data several solutions hav...
SDM
2009
SIAM
14 years 8 months ago
2009
SIAM
Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...
CSDA
2007
13 years 10 months ago
2007
This article proposes a Bayesian infinite mixture model for the estimation of the conditional density of an ergodic time series. A nonparametric prior on the conditional density ...
CVPR
2003
IEEE
15 years 26 days ago
2003
IEEE
It is now common practice in machine vision to define the variability in an object's appearance in a factored manner, as a combination of shape and texture transformations. I...