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In this book, the optimal transportation problem (OT) is described as a variational problem for absolutely continuous stochastic processes with fixed initial and terminal distributions.
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This book contains new aspects of model diagnostics in time series analysis, including variable selection problems and higher-order asymptotics of tests. The book... Læs mere
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This book provides an accessible introduction and practical guidelines to apply asymmetric multidimensional scaling, cluster analysis, and related methods to asymmetric one-mode two-way and three-way asymmetric data.
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The book comprises three chapters, with each chapter assigned various type data such as time series data, cross sectional data and panel... Læs mere
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This book will present the recent research trends in the fields of software engineering, big data analysis, cloud... Læs mere
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This book gathers selected papers presented at the International Conference on Sentimental Analysis and Deep Learning (ICSADL 2021), jointly organized by Tribhuvan University, Nepal;
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This book aims to address emerging challenges in the field of agriculture and natural resource management using the principles and applications of data science (DS).
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This book highlights the need for studying multi-state models analytically for understanding the physics of molecular processes. Along side introducing a brand new solvable model in quantum scattering, it discusses transient features of quantum two-state models.
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An indefatigable mathematician and university teacher at Cambridge, Isaac Todhunter (1820–84) is best... Læs mere
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Emphasizing causation as a functional relationship between variables, this book provides comprehensive coverage on the basics of SEM. It takes readers through the process of identifying, estimating, analyzing, and evaluating a range of models.