Trends in Mathematical, Information and Data Sciences

Trends in Mathematical, Information and Data Sciences
Author :
Publisher : Springer Nature
Total Pages : 450
Release :
ISBN-10 : 9783031041372
ISBN-13 : 3031041372
Rating : 4/5 (372 Downloads)

Book Synopsis Trends in Mathematical, Information and Data Sciences by : Narayanaswamy Balakrishnan

Download or read book Trends in Mathematical, Information and Data Sciences written by Narayanaswamy Balakrishnan and published by Springer Nature. This book was released on 2022-06-27 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book involves ideas/results from the topics of mathematical, information, and data sciences, in connection with the main research interests of Professor Pardo that can be summarized as Information Theory with Applications to Statistical Inference. This book is a tribute to Professor Leandro Pardo, who has chaired the Department of Statistics and OR of the Complutense University in Madrid, and he has been also President of the Spanish Society of Statistics and Operations Research. In this way, the contributions have been structured into three parts, which often overlap to a greater or lesser extent, namely Trends in Mathematical Sciences (Part I) Trends in Information Sciences (Part II) Trends in Data Sciences (Part III) The contributions gathered in this book have offered either new developments from a theoretical and/or computational and/or applied point of view, or reviews of recent literature of outstanding developments. They have been applied through nice examples in climatology, chemistry, economics, engineering, geology, health sciences, physics, pandemics, and socioeconomic indicators. Consequently, the intended audience of this book is mainly statisticians, mathematicians, computer scientists, and so on, but users of these disciplines as well as experts in the involved applications may certainly find this book a very interesting read.


Trends in Mathematical, Information and Data Sciences Related Books

Trends in Mathematical, Information and Data Sciences
Language: en
Pages: 450
Authors: Narayanaswamy Balakrishnan
Categories: Technology & Engineering
Type: BOOK - Published: 2022-06-27 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book involves ideas/results from the topics of mathematical, information, and data sciences, in connection with the main research interests of Professor Pa
Trends in Mathematical, Information and Data Sciences
Language: en
Pages: 0
Authors: Narayanaswamy Balakrishnan
Categories:
Type: BOOK - Published: 2023 - Publisher:

DOWNLOAD EBOOK

This book involves ideas/results from the topics of mathematical, information, and data sciences, in connection with the main research interests of Professor Pa
Building Bridges between Soft and Statistical Methodologies for Data Science
Language: en
Pages: 421
Authors: Luis A. GarcĂ­a-Escudero
Categories: Computers
Type: BOOK - Published: 2022-08-24 - Publisher: Springer Nature

DOWNLOAD EBOOK

Nowadays, data analysis is becoming an appealing topic due to the emergence of new data types, dimensions, and sources. This motivates the development of probab
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
Mathematical Methods in Data Science
Language: en
Pages: 260
Authors: Jingli Ren
Categories: Computers
Type: BOOK - Published: 2023-01-06 - Publisher: Elsevier

DOWNLOAD EBOOK

Mathematical Methods in Data Science covers a broad range of mathematical tools used in data science, including calculus, linear algebra, optimization, network