measure theory, probability, (122 offers*)

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Probability and Measure Theory
Probability and Measure Theory
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A Basic Course in Measure and Probability: Theory For Applications
A Basic Course in Measure and Probability: Theory For Applications
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Set, Measure and Probability Theory (River Publishers Series in Mathematical, Statistical and Computational Modelling for Engineering)
Set, Measure and Probability Theory (River Publishers Series in Mathematical, Statistical and Computational Modelling for Engineering)
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Measure Theory, Probability, and Stochastic Processes: 295 (Graduate Texts in Mathematics, 295)
Measure Theory, Probability, and Stochastic Processes: 295 (Graduate Texts in Mathematics, 295)
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Exercises in Probability: A Guided Tour From Measure Theory To Random Processes, Via Conditioning: 35 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 35)
Exercises in Probability: A Guided Tour From Measure Theory To Random Processes, Via Conditioning: 35 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 35)
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Measure Theory, Probability, and Stochastic Processes: 295 (Graduate Texts in Mathematics, 295)
Measure Theory, Probability, and Stochastic Processes: 295 (Graduate Texts in Mathematics, 295)
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Introduction To Probability Theory: A First Course On The Measure-theoretic Approach: 3 (World Scientific Series on Probability Theory and Its Applications)
Introduction To Probability Theory: A First Course On The Measure-theoretic Approach: 3 (World Scientific Series on Probability Theory and Its Applications)
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Measure Theory and Advanced Probability
Measure Theory and Advanced Probability
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Measure Theory and Probability Spaces in Machine Learning With Python (Mastering Machine Learning)
Measure Theory and Probability Spaces in Machine Learning With Python (Mastering Machine Learning)
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Measure Theory for Analysis and Probability
Measure Theory for Analysis and Probability
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A Basic Course in Measure and Probability : Theory for Applications
A Basic Course in Measure and Probability : Theory for Applications
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Introduction To Probability Theory: A First Course On The Measure-theoretic Approach
Introduction To Probability Theory: A First Course On The Measure-theoretic Approach
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Measure Theory: Second Edition (Birkhäuser Advanced Texts Basler Lehrbücher)
Measure Theory: Second Edition (Birkhäuser Advanced Texts Basler Lehrbücher)
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Introduction to Measure Theory and Functional Analysis: 89 (UNITEXT, 89)
Introduction to Measure Theory and Functional Analysis: 89 (UNITEXT, 89)
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Foundations of Quantitative Finance: Book V General Measure and Integration Theory (Chapman and Hall/CRC Financial Mathematics Series)
Foundations of Quantitative Finance: Book V General Measure and Integration Theory (Chapman and Hall/CRC Financial Mathematics Series)
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Measure Theory and Filtering: Introduction and Applications: 15 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 15)
Measure Theory and Filtering: Introduction and Applications: 15 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 15)
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Measure Theory: Second Edition (Birkhäuser Advanced Texts Basler Lehrbücher)
Measure Theory: Second Edition (Birkhäuser Advanced Texts Basler Lehrbücher)
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Measure and Integration Theory: 26 (De Gruyter Studies in Mathematics, 26)
Measure and Integration Theory: 26 (De Gruyter Studies in Mathematics, 26)
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Measure Theory and Integration
Measure Theory and Integration
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Modern Mathematical Concepts For Engineers - Part I: From Infinitesimal Calculus To Measure Theory
Modern Mathematical Concepts For Engineers - Part I: From Infinitesimal Calculus To Measure Theory
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Modern Mathematical Concepts For Engineers - Part I: From Infinitesimal Calculus To Measure Theory
Modern Mathematical Concepts For Engineers - Part I: From Infinitesimal Calculus To Measure Theory
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First Look At Rigorous Probability Theory, A (2nd Edition)
First Look At Rigorous Probability Theory, A (2nd Edition)
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Probability and Measure
Probability and Measure
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Probability theory : A Foundational Course
Probability theory : A Foundational Course
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Probability with Martingales (Cambridge Mathematical Textbooks)
Probability with Martingales (Cambridge Mathematical Textbooks)
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Principles of Analysis : Measure, Integration, Functional Analysis, and Applications
Principles of Analysis : Measure, Integration, Functional Analysis, and Applications
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An Advanced Course in Probability and Stochastic Processes
An Advanced Course in Probability and Stochastic Processes
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A Course in Mathematical Statistics and Large Sample Theory
A Course in Mathematical Statistics and Large Sample Theory
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Modular Theory in Operator Algebras
Modular Theory in Operator Algebras
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Principles of Analysis : Measure, Integration, Functional Analysis, and Applications
Principles of Analysis : Measure, Integration, Functional Analysis, and Applications
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Introduction to Measure and Integration
Introduction to Measure and Integration
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A Second Course in Probability
A Second Course in Probability
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Probability Essentials
Probability Essentials
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An Introduction to Ergodic Theory
An Introduction to Ergodic Theory
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