Nonparametric kernel estimators apply to the statistical analysis of independent or dependent sequences of random variables and for samples of continuous or dis

The book presents advanced methods of integral calculus and optimization, the classical theory of ordinary and partial differential equations and systems of dyn

Nonparametric kernel estimators apply to the statistical analysis of independent or dependent sequences of random variables and for samples of continuous or dis

This book covers a highly relevant and timely topic that is of wide interest, especially in finance, engineering and computational biology. The introductory mat

This volume discusses an important area of statistics and highlights the most important statistical advances. It is divided into four sections: statistics in th