This book presents nine survey articles addressing topics surrounding positivity, with an emphasis on functional analysis. ...
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Posn(R) and Eisenstein Series provides an introduction, requiring minimal prerequisites, to the analysis on symmetric spaces ...
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“Modern Analysis” as represented in the works of the Bourbaki group or in the textbooks by Jean Dieudonn´ e is characterized ...
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This text addresses the understanding and alleviation of poverty, inequality, and inequity using a unique and broad mix of ...
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Some economic phenomena are predictable and controllable, and some are impos sible to foresee. Existing economic theories ...
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This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read ...
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Business intelligence and real–time reporting mechanisms play a major role in any of today's forward–looking business ...
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The applications of image-based measurement are many and various: image-guided surgery, mobile-robot navigation, component ...
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The fields of similarity and preference are still broadening due to the exploration of new fields of application. This is ...
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This book introduces the fundamental concepts of statistical theory and describes the methods most often used in practice. ...
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This book introduces the fundamental concepts of statistical theory and describes the methods most often used in practice. ...
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Prime numbers beckon to the beginner, as the basic notion of primality is accessible even to children. Yet, some of the simplest ...
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In 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools ...
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Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, ...
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Principles of Mathematics in Operations Research is a comprehensive survey of the mathematical concepts and principles of ...
Lire la suiteEmphasizes statistical methods and how they can be applied to problems in science and engineering. The book contains many ...
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Constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2008, held ...
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Conditional independence is a topic that lies between statistics and artificial intelligence. Probabilistic Conditional Independence ...
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Soils and rocks are among the most variable of all engineering materials, and as such are highly amenable to a probabilistic ...
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Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, ...
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