New Advances in Statistics and Data Science

New Advances in Statistics and Data Science
Author :
Publisher : Springer
Total Pages : 355
Release :
ISBN-10 : 9783319694160
ISBN-13 : 3319694162
Rating : 4/5 (162 Downloads)

Book Synopsis New Advances in Statistics and Data Science by : Ding-Geng Chen

Download or read book New Advances in Statistics and Data Science written by Ding-Geng Chen and published by Springer. This book was released on 2018-01-17 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the “Challenge of Big Data and Applications of Statistics,” in recognition of the advent of big data era, and the symposium offered opportunities for learning, receiving inspirations from old research ideas and for developing new ones, and for promoting further research collaborations in the data sciences. The invited contributions addressed rich topics closely related to big data analysis in the data sciences, reflecting recent advances and major challenges in statistics, business statistics, and biostatistics. Subsequently, the six editors selected 19 high-quality presentations and invited the speakers to prepare full chapters for this book, which showcases new methods in statistics and data sciences, emerging theories, and case applications from statistics, data science and interdisciplinary fields. The topics covered in the book are timely and have great impact on data sciences, identifying important directions for future research, promoting advanced statistical methods in big data science, and facilitating future collaborations across disciplines and between theory and practice.


New Advances in Statistics and Data Science Related Books

New Advances in Statistics and Data Science
Language: en
Pages: 355
Authors: Ding-Geng Chen
Categories: Mathematics
Type: BOOK - Published: 2018-01-17 - Publisher: Springer

DOWNLOAD EBOOK

This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This
Computational Statistics in Data Science
Language: de
Pages: 672
Authors: Richard A. Levine
Categories: Mathematics
Type: BOOK - Published: 2022-03-23 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Ein unverzichtbarer Leitfaden bei der Anwendung computergestützter Statistik in der modernen Datenwissenschaft In Computational Statistics in Data Science prä
Practical Statistics for Data Scientists
Language: en
Pages: 322
Authors: Peter Bruce
Categories: Computers
Type: BOOK - Published: 2017-05-10 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics r
Data Science and Machine Learning
Language: en
Pages: 538
Authors: Dirk P. Kroese
Categories: Business & Economics
Type: BOOK - Published: 2019-11-20 - Publisher: CRC Press

DOWNLOAD EBOOK

Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked
Recent Advances in Data Science
Language: en
Pages: 295
Authors: Henry Han
Categories: Computers
Type: BOOK - Published: 2020-09-28 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book constitutes selected papers of the ​Third International Conference on Data Science, Medicine and Bioinformatics, IDMB 2019, held in Nanning, China,