Qiao, Wanli, and Shehu, Amarda. Space partitioning and regression maxima seeking via a mean-shift-inspired algorithm. Retrieved from https://par.nsf.gov/biblio/10378902. Electronic Journal of Statistics 16.2 Web. doi:10.1214/22-EJS2073.
Qiao, Wanli, & Shehu, Amarda. Space partitioning and regression maxima seeking via a mean-shift-inspired algorithm. Electronic Journal of Statistics, 16 (2). Retrieved from https://par.nsf.gov/biblio/10378902. https://doi.org/10.1214/22-EJS2073
@article{osti_10378902,
place = {Country unknown/Code not available},
title = {Space partitioning and regression maxima seeking via a mean-shift-inspired algorithm},
url = {https://par.nsf.gov/biblio/10378902},
DOI = {10.1214/22-EJS2073},
abstractNote = {},
journal = {Electronic Journal of Statistics},
volume = {16},
number = {2},
author = {Qiao, Wanli and Shehu, Amarda},
}
Warning: Leaving National Science Foundation Website
You are now leaving the National Science Foundation website to go to a non-government website.
Website:
NSF takes no responsibility for and exercises no control over the views expressed or the accuracy of
the information contained on this site. Also be aware that NSF's privacy policy does not apply to this site.