ISBN : 9789811272837
Author : Odile Pons
Publisher : World Scientific
Year : 2024
Language : English
Type : Book
Description : Nonparametric kernel estimators apply to the statistical analysis of independent or dependent sequences of random variables and for samples of continuous or discrete processes. The optimization of these procedures is based on the choice of a bandwidth that minimizes an estimation error and the weak convergence of the estimators is proved. This book introduces new mathematical results on statistical methods for the density and regression functions presented