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Divergence Measures - (Hardcover)

Name: Divergence Measures - (Hardcover)
Brand: Mdpi AG
SKU: 1010469624
Price: 65.99 USD
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Details

Highlights

Data science, information theory, probability theory, statistical learning and other related disciplines greatly benefit from non-negative measures of dissimilarity between pairs of probability measures.
256 Pages
Computers + Internet, Computer Science

Description

Book Synopsis

Data science, information theory, probability theory, statistical learning and other related disciplines greatly benefit from non-negative measures of dissimilarity between pairs of probability measures. These are known as divergence measures, and exploring their mathematical foundations and diverse applications is of significant interest. The present Special Issue, entitled "Divergence Measures: Mathematical Foundations and Applications in Information-Theoretic and Statistical Problems", includes eight original contributions, and it is focused on the study of the mathematical properties and applications of classical and generalized divergence measures from an information-theoretic perspective. It mainly deals with two key generalizations of the relative entropy: namely, the Rényi divergence and the important class of f -divergences. It is our hope that the readers will find interest in this Special Issue, which will stimulate further research in the study of the mathematical foundations and applications of divergence measures.

Specifications

Dimensions (Overall): 9.61 Inches (H) x 6.69 Inches (W) x .81 Inches (D)

Weight: 1.66 Pounds

Suggested Age: 22 Years and Up

Number of Pages: 256

Genre: Computers + Internet

Sub-Genre: Computer Science

Publisher: Mdpi AG

Format: Hardcover

Language: English

Street Date: June 1, 2022

TCIN: 1010469624

UPC: 9783036543321

Item Number (DPCI): 247-27-7460

Origin: Made in the USA or Imported

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Estimated ship dimensions: 0.81 inches length x 6.69 inches width x 9.61 inches height

Estimated ship weight: 1.66 pounds

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