£121.88

Springer New Statistical Developments in Data Science SIS 2017

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Description

Explore the latest advancements in statistics and data analysis with this comprehensive volume from Springer. This book contains extended versions of the papers presented at the SIS Conference, Statistics and Data Science: new challenges, new generations, held in Florence, Italy. As data science continues to evolve, this collection highlights the central role of statistical methods in modern research. The book is organized into six distinct parts, each targeting a core area that contributes to the field of Data Science. With 35 individual contributions, readers gain an essential overview of current research trends and methodologies. This text is a valuable resource for those studying strong statistical methodologies and Bayesian approaches. It serves as a detailed record of the scientific discussions held during the 2017 conference, providing academic depth for researchers and students interested in the intersection of statistics and data science.

Key Features

Includes 35 extended research papers presented at the SIS 2017 conference in Florence, Italy.

Organized into six specific parts that focus on core areas contributing to the field of Data Science.

Provides a detailed overview of the latest developments in various areas of statistics research.

Covers essential topics including strong statistical methodologies and Bayesian methods.

Part of the Springer Proceedings in Mathematics and Statistics series, volume 288.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
21 August 2019
Listed Since
20 April 2019

Barcode

No barcode data available

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