Maximum Likelihood Estimation of Nonnegative Trigonometric Sum Models Using a Newton-like Algorithm on Manifolds
Computation
2025-01-10 v1
Abstract
In Fern\'andez-Dur\'an (2004), a new family of circular distributions based on nonnegative trigonometric sums (NNTS models) is developed. Because the parameter space of this family is the surface of the hypersphere, an efficient Newton-like algorithm on manifolds is generated in order to obtain the maximum likelihood estimates of the parameters.
Cite
@article{arxiv.1010.6098,
title = {Maximum Likelihood Estimation of Nonnegative Trigonometric Sum Models Using a Newton-like Algorithm on Manifolds},
author = {Fernández-Durán and J. J. and Gregorio-Domínguez and M. M},
journal= {arXiv preprint arXiv:1010.6098},
year = {2025}
}
Comments
9 pages 1 figure