In 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools ...
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This book constitutes the refereed proceedings of the 14th International Conference on Principles and Practice of Constraint ...
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Principles of Mathematics in Operations Research is a comprehensive survey of the mathematical concepts and principles of ...
Continue readingEmphasizes statistical methods and how they can be applied to problems in science and engineering. The book contains many ...
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Conditional independence is a topic that lies between statistics and artificial intelligence. Probabilistic Conditional Independence ...
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This is the first comprehensive treatment of the three basic symmetries of probability theory—contractability, exchangeability, ...
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This handbook, now available in paperback, brings together a comprehensive collection of mathematical material in one location. ...
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This is the second edition and is twice the size of the first one. The material on recombination and the stepping stone model ...
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Probabilistic concepts play an increasingly important role in mathematics, physics, biology, financial engineering and computer ...
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This edition contains a detailed treatment of the core area of probability, and both structural and limit results are presented ...
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This edition contains a detailed treatment of the core area of probability, and both structural and limit results are presented ...
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Random trees and tree-valued stochastic processes are of particular importance in combinatorics, computer science, phylogenetics, ...
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This book presents notions and ideas from the foundations of a statistical treatment of risks. Bayesian methods are frequently ...
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This book presents notions and ideas from the foundations of a statistical treatment of risks. Bayesian methods are frequently ...
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This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering ...
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This book includes models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data ...
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This book includes models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data ...
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Description While helping students to develop their problem-solving skills, the author motivates students with practical ...
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This textbook on the theory of probability is aimed at graduate students, with the ideology that rather than being a purely ...
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Il volume contiene in forma compatta il programma svolto negli insegnamenti introduttivi di statistica e tratta alcuni argomenti ...
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