This book introduces the fundamental concepts of statistical theory and describes the methods most often used in practice. ...
Lire la suitePrime numbers beckon to the beginner, as the basic notion of primality is accessible even to children. Yet, some of the simplest ...
Lire la suiteIn 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools ...
Lire la suiteThrough a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, ...
Lire la suitePrinciples 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 ...
Lire la suiteConstitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2008, held ...
Lire la suiteConditional independence is a topic that lies between statistics and artificial intelligence. Probabilistic Conditional Independence ...
Lire la suiteSoils and rocks are among the most variable of all engineering materials, and as such are highly amenable to a probabilistic ...
Lire la suiteProbabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, ...
Lire la suiteThis is the first comprehensive treatment of the three basic symmetries of probability theory—contractability, exchangeability, ...
Lire la suiteThis is the second edition and is twice the size of the first one. The material on recombination and the stepping stone model ...
Lire la suiteProbabilistic concepts play an increasingly important role in mathematics, physics, biology, financial engineering and computer ...
Lire la suiteThis edition contains a detailed treatment of the core area of probability, and both structural and limit results are presented ...
Lire la suiteThis edition contains a detailed treatment of the core area of probability, and both structural and limit results are presented ...
Lire la suiteRandom trees and tree-valued stochastic processes are of particular importance in combinatorics, computer science, phylogenetics, ...
Lire la suiteThis book presents notions and ideas from the foundations of a statistical treatment of risks. Bayesian methods are frequently ...
Lire la suiteThis book presents notions and ideas from the foundations of a statistical treatment of risks. Bayesian methods are frequently ...
Lire la suiteThis revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering ...
Lire la suiteThis book includes models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data ...
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