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Foundations of Constructive Probability Theory
of probability theory and stochastic processes. It is the first extended account of this theory: almost all of the constructive existence and continuity;
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Foundations of the Theory of Probability
of the Theory of Probability" by Andrey Nikolaevich Kolmogorov is historically important in the history of mathematics. It is the foundation;
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Foundations of Software Science and Computation Structures
; proof theory; probability; concurrency; lambda calculus and constructive proof; and semantics and category theory.;
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Probability Foundations of Economic Theory
First published in 1994. Concepts of probability are an integral component of economic theory. However there are a wide range of theories;
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Probability Foundations of Economic Theory
First published in 1994. Concepts of probability are an integral component of economic theory. However there are a wide range of theories;
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GameTheoretic Foundations for Probability and Finance
Foundations for Probability and Finance presents a mature view of the foundational role game theory can play. Its account of probability theory opens;
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Foundations of the Theory of Probability
of modern probability theory and cementing the author's reputation as a leading authority in the field. The distinguished Russian mathematician A. N;
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Probability Foundations for Engineers
Suitable for a first course in probability theory and designed specifically for industrial engineering and operations management students;
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Topics In Probability
of probability theory have receded into the background. Yet, these aspects are very important and have to be brought back into prominence.;
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An Objective Theory of Probability (Routledge Revivals)
This reissue of D. A. Gillies highly influential work, first published in 1973, is a philosophical theory of probability which seeks to;
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An Objective Theory Of Probability (Routledge Revivals)
This reissue of D. A. Gillies highly influential work, first published in 1973, is a philosophical theory of probability which seeks to;
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Hilbert Space Methods In Probability And Statistical Inference
Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory;
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Quantum Probability And Infinite Dimensional Analysis - Proceedings Of The 26th Conference
information theory and modern mathematical finance. This diversity illustrates that research in quantum probability and infinite dimensional analysis;
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Theory of Probability
treatment of probability and statistics. De Finetti s theory of probability is one of the foundations of Bayesian theory. De Finetti stated that;
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Cambridge Studies in Probability, Induction and Decision Theory
This is an important collection of essays dealing with the foundations of probability that will be of value to philosophers of science;
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Cambridge Studies in Probability, Induction and Decision Theory
This is an important collection of essays dealing with the foundations of probability that will be of value to philosophers of science;
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The Concept of Probability in Statistical Physics
subjectivist and objectivist accounts of probability, and takes full measure of work in the foundations of probability theory, in statistical mechanics;
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The Concept of Probability in Statistical Physics
subjectivist and objectivist accounts of probability, and takes full measure of work in the foundations of probability theory, in statistical mechanics;
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Foundations of Constructive Analysis
This book, Foundations of Constructive Analysis, founded the field of constructive analysis because ;...
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A Literary History of America,
Comprising the major theorems of probability theory and its measure theoretical foundations, this text studies independence;
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Probability Theory
1963 publication, this volume served as the standard advanced text in probability theory. Geared toward graduate students and professionals;
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Quantum Foundations, Probability and Information
probability and information theory can consider this book a valuable resource.;
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Nomic Probability and the Foundations of Induction
conceptions of probability, he demonstrates, are derived from this nomic notion. He goes on to provide a theory of statistical induction; an account;
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What Makes Variables Random
underlie the statistical analyses used in applied research. By explaining probability in terms of measure theory, it gives the applied researchers;
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Theory Of Probability
From classical foundations to advanced modern theory, this self-contained and comprehensive guide to probability weaves together;
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The Principles of Economics
neoclassical theory, beginning with what Alfred Marshall called the `Principles of Economics'. It concludes that there is still much that can be done;
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