Estimation via length-constrained generalized empirical principal curves under small noise

Autor: Delattre, Sylvain, Fischer, Aurélie
Rok vydání: 2019
Předmět:
Druh dokumentu: Working Paper
Popis: In this paper, we propose a method to build a sequence of generalized empirical principal curves, with selected length, so that, in Hausdor distance, the images of the estimating principal curves converge in probability to the image of g.
Databáze: arXiv