Now showing items 1-4 of 4
Nonparametric density contour estimation
Estimation of the level sets for an unknown probability density is done with no specific assumed form for that density, that is, non-parametrically. Methods for tackling this problem are presented. Earlier research showed ...
Transform-domain modeling of nonGaussian and 1/f processes
Classical Gaussian, Markov, and Poisson models have played a vital role in the remarkable success of statistical signal processing. However, a host of signals---images, network traffic, financial times series, seismic ...
Practical and effective methods of simulation based parameter estimation for multidimensional data
In 1983, Atkinson, Bartoszynski, Brown, and Thompson proposed a method of parameter estimation referred to as "simulation based estimation", or SIMEST. SIMEST is closely related to maximum likelihood, in that both methods ...
A geometry for detection theory
The optimal detector for a binary detection problem under a variety of criteria is the likelihood ratio test. Despite this simple characterization of the detector, analytic performance analysis in most cases is difficult ...