Hee-Seok Oh, Ta-Hsin Li
JRSSB: Statistical Methodology
This paper considers the least-squares estimator of a nonlinear regression problem where the regression function is a sum of sinusoids with unknown amplitudes and frequencies. It provides a complete proof of the consistency and the asymptotic normality of the nonlinear least-squares estimator after an expository discussion on the gaps and flaws in the related literature. © 2011 Taylor & Francis.
Hee-Seok Oh, Ta-Hsin Li
JRSSB: Statistical Methodology
Ta-Hsin Li, Kai-Sheng Song
ICASSP 2006
Kuo-Ching Liang, Xiaodong Wang, et al.
BMC Bioinformatics
Ta-Hsin Li
Journal of Time Series Analysis