Multivariate Kernel Smoothing and Its Applications

ISBN-13: 9780367571733 / Angielski / Miękka / 2020 / 226 str.

José E. Chacón; Tarn Duong

Opis

Kernel smoothing has greatly evolved since its inception to become an essential methodology in the Data Science tool kit for the 21st century. Its widespread adoption is due to its fundamental role for multivariate exploratory data analysis, as well as the crucial role it plays in composite solutions to complex data challenges.

Spis treści

Introduction. Density estimation. Density derivative estimation. Statistical topics related to density derivative estimation. Kernel smoothing in other selected settings.

O autorze

José E. Chacón is an associate professor at the Department of Mathematics of the Universidad de Extremadura in Spain.

Tarn Duong is a Senior Data Scientist for a start-up which provides short distance carpooling services in France. 

Both authors have made important contributions to kernel smoothing research over the last couple of decades.