Concentration Inequalities: A Nonasymptotic Theory of Independence
by Gabor Lugosi, Stéphane Boucheron, Pascal Massart
Concentration Inequalities: A Nonasymptotic Theory of Independence provides a rigorous mathematical treatment of concentration inequalities and nonasymptotic analysis. Focusing on independence, the book serves as a specialized reference for readers exploring probability, statistics, and the behavior of random quantities.
About This Book
Concentration Inequalities: A Nonasymptotic Theory of Independence presents a mathematical treatment of concentration inequalities.
The book focuses on nonasymptotic results concerning independence, offering a framework for understanding how random quantities behave around typical values.
Written by Gabor Lugosi, Stéphane Boucheron, and Pascal Massart, it is suited to readers seeking a rigorous reference in probability and statistics.
Its subject matter connects mathematical theory with the study of independent random variables and concentration phenomena.
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