Confidence ellipsoids for regression coefficients by observations from a mixture
Methodology
2018-06-12 v1
Abstract
Confidence ellipsoids for linear regression coefficients are constructed by observations from a mixture with varying concentrations. Two approaches are discussed. The first one is the nonparametric approach based on the weighted least squares technique. The second one is an approximate maximum likelihood estimation with application of the EM-algorithm for the estimates calculation.
Cite
@article{arxiv.1806.03850,
title = {Confidence ellipsoids for regression coefficients by observations from a mixture},
author = {Vitalii Miroshnichenko and Rostyslav Maiboroda},
journal= {arXiv preprint arXiv:1806.03850},
year = {2018}
}
Comments
Published at https://doi.org/10.15559/18-VMSTA105 in the Modern Stochastics: Theory and Applications (https://www.i-journals.org/vtxpp/VMSTA) by VTeX (http://www.vtex.lt/)