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This book explores minimum divergence methods of statistical machine learning for estimation, regression, prediction,... Read More >>
It makes full use of information recorded in financial statements, including income statement, on- and off-balance... Read More >>
This concise and up-to-date textbook provides an accessible introduction to the core concepts of nonlinear dynamics... Read More >>
This advanced textbook explores small area estimation techniques, covers the underlying mathematical and statistical... Read More >>
This short book elaborates on selected aspects of stochastic-statistical dependencies in multivariate statistics.... Read More >>
This edited volume is an in-depth collation of the usage of different quantitative decision making techniques in... Read More >>
The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary... Read More >>
Provides guidance and informal advice while showing the links between statistics and the world. To reinforce this... Read More >>
Perspectives in Sustainable Equity Investing is an up-to-date review of the academic literature on sustainable equity... Read More >>
Given a set of objects and a pairwise similarity measure between them, the goal of correlation clustering is to... Read More >>
Probabilistic technique is a nonconstructive method used to prove the existence of a specified type of mathematical... Read More >>
Artificial Intelligence and Causal Inference address the recent development of relationships between artificial... Read More >>
This book (in three volumes) comprises the proceedings of the Fifth Conference of Transportation Research Group... Read More >>
This book introduces the open source R software language that can be implemented in biostatistics for data organization,... Read More >>
This book brings the power of modern Bayesian thinking, modeling,... Read More >>
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Indicators are more and more applied to describe and analyze complex systems. One possibility is the application... Read More >>
Agent-based Models and Causal Inference Scholars of causal inference have given little credence to the possibility... Read More >>
This book is designed to make spatio-temporal modeling and analysis understandable to students and researchers,... Read More >>
Probability and Statistics are two closely related sub-disciplines of mathematical. Statistics is a mathematical... Read More >>
The discipline that is concerned with the collection, organization, analysis, interpretation, and presentation of... Read More >>
The mathematical discipline that is concerned with the collection, analysis, organization, interpretation and presentation... Read More >>
This book presents best practices involving applications of decision sciences, business tactics and behavioral sciences for... Read More >>