Pouzyry: a novel class of algorithms for restoring a function from a random sample
Data Analysis, Statistics and Probability
2009-11-10 v3 High Energy Physics - Experiment
High Energy Physics - Phenomenology
Abstract
A novel class of algorithms for restoring a function from a random sample is based on the concept of weak convergence, borrows algorithmic solutions from the Optimal Jet Finder (hep-ph/0301185), offers a considerable algorithmic flexibility, is applicable to non-positive functions, is insensitive to the choice of coordinate axes. A first implementation demonstrates feasibility of the approach.
Keywords
Cite
@article{arxiv.physics/0401012,
title = {Pouzyry: a novel class of algorithms for restoring a function from a random sample},
author = {F. V. Tkachov},
journal= {arXiv preprint arXiv:physics/0401012},
year = {2009}
}
Comments
4p PS; talk at ACAT'03; see also http://www.inr.ac.ru/~ftkachov/projects/pouzyry/; v.3: refs. added