Year: 2003
Type: preprint
Abstract: The adaptive multi-channel method is applied to derive probability distributions from data samples. Moreover, an explicit algorithm is introduced, for which both the channel weights and the channels themselves are adaptive, and which can be used both for data analysis and for importance sampling in Monte Carlo integration. Finally, it is pointed out how the usefulness for data analysis can be used to optimize the integration procedure.
Source: arXiv (Cornell University)
Author: van Hameren, A.
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2170724397
