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Minimum Divergence Methods in Statistical Machine Learning

Minimum Divergence Methods in Statistical Machine Learning

Author : Shinto Eguchi
Publisher : Springer
Release Date : 2022-04-18
Category : Mathematics
Excerpts : This book explores minimum divergence methods of statistical machine learning for estimation, regression, prediction, and so forth, in which we engage in information geometry to elucidate their intrinsic properties of the corresponding loss functions, learning algorithms, and statistical models. One of the most elementary examples is Gauss's least squares estimator ...
Victorians and Numbers

Victorians and Numbers

Author : Lawrence Goldman
Publisher : Oxford University Press
Release Date : 2022-02
Category : Great Britain
Excerpts : A defining feature of Victorian Britain was its fascination with statistics, and this study shows how data influenced every aspect of Victorian culture and thought, from the methods of natural science and the struggle against disease, to the development of social administration, and the arguments and conflicts between social classes....
Fundamentals of High Dimensional Statistics

Fundamentals of High Dimensional Statistics

Author : Johannes Lederer
Publisher : Springer Nature
Release Date : 2021-11-16
Category : Mathematics
Excerpts : This textbook provides a step-by-step introduction to the tools and principles of high-dimensional statistics. Each chapter is complemented by numerous exercises, many of them with detailed solutions, and computer labs in R that convey valuable practical insights. The book covers the theory and practice of high-dimensional linear regression, graphical models, ...
Partial Least Squares Structural Equation Modeling PLS SEM Using R

Partial Least Squares Structural Equation Modeling PLS SEM Using R

Author : Joseph F. Hair Jr.
Publisher : Springer Nature
Release Date : 2021-11-03
Category : Business & Economics
Excerpts : Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method’s flexibility in terms of data requirements and measurement specification. ...
Cyber Intelligence and Information Retrieval

Cyber Intelligence and Information Retrieval

Author : João Manuel R. S. Tavares
Publisher : Springer Nature
Release Date : 2021-10-30
Category : Technology & Engineering
Excerpts : This book gathers a collection of high-quality peer-reviewed research papers presented at International Conference on Cyber Intelligence and Information Retrieval (CIIR 2021), held at Institute of Engineering & Management, Kolkata, India during 20–21 May 2021. The book covers research papers in the field of privacy and security in the cloud, data loss prevention and ...
Probability in Electrical Engineering and Computer Science

Probability in Electrical Engineering and Computer Science

Author : Jean Walrand
Publisher : Springer Nature
Release Date : 2020
Category : Applied mathematics
Excerpts : This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering and computer science (EECS). The author presents information processing and communication systems that use algorithms based on probabilistic models and techniques, including web searches, digital links, speech recognition, GPS, route planning, recommendation systems, classification, ...
Applied Advanced Analytics

Applied Advanced Analytics

Author : Arnab Kumar Laha
Publisher : Springer Nature
Release Date : 2021-06-08
Category : Business & Economics
Excerpts : This book covers several new areas in the growing field of analytics with some innovative applications in different business contexts, and consists of selected presentations at the 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence. The book is conceptually divided in seven parts. The first part ...
Data Governance and Compliance

Data Governance and Compliance

Author : Rupa Mahanti
Publisher : Springer Nature
Release Date : 2021-04-27
Category : Business & Economics
Excerpts : This book sets the stage of the evolution of corporate governance, laws and regulations, other forms of governance, and the interaction between data governance and other corporate governance sub-disciplines. Given the continuously evolving and complex regulatory landscape and the growing number of laws and regulations, compliance is a widely discussed ...
Econometric Analysis of Panel Data

Econometric Analysis of Panel Data

Author : Badi H. Baltagi
Publisher : Springer Nature
Release Date : 2021-03-16
Category : Business & Economics
Excerpts : This textbook offers a comprehensive introduction to panel data econometrics, an area that has enjoyed considerable growth over the last two decades. Micro and Macro panels are becoming increasingly available, and methods for dealing with these types of data are in high demand among practitioners. Software programs have fostered this ...
Riemannian Optimization and Its Applications

Riemannian Optimization and Its Applications

Author : Hiroyuki Sato
Publisher : Springer Nature
Release Date : 2021-02-17
Category : Technology & Engineering
Excerpts : This brief describes the basics of Riemannian optimization—optimization on Riemannian manifolds—introduces algorithms for Riemannian optimization problems, discusses the theoretical properties of these algorithms, and suggests possible applications of Riemannian optimization to problems in other fields. To provide the reader with a smooth introduction to Riemannian optimization, brief reviews ...
Introduction to Statistics in Metrology

Introduction to Statistics in Metrology

Author : Stephen Crowder
Publisher : Springer Nature
Release Date : 2020-11-30
Category : Mathematics
Excerpts : This book provides an overview of the application of statistical methods to problems in metrology, with emphasis on modelling measurement processes and quantifying their associated uncertainties. It covers everything from fundamentals to more advanced special topics, each illustrated with case studies from the authors' work in the Nuclear Security Enterprise (...