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High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics)

High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics)

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Modern Discrete Probability: An Essential Toolkit (Cambridge Series in Statistical and Probabilistic Mathematics)

Modern Discrete Probability: An Essential Toolkit (Cambridge Series in Statistical and Probabilistic Mathematics)

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Bayesian Analysis with Python: A practical guide to probabilistic modeling

Bayesian Analysis with Python: A practical guide to probabilistic modeling

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Asymptotic Statistics (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 3)

Asymptotic Statistics (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 3)

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Probability (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 49)

Probability (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 49)

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High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 48)

High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 48)

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High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)

High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)

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Probabilistic Foundations of Statistical Network Analysis (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Probabilistic Foundations of Statistical Network Analysis (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

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The Probabilistic Method (Wiley Series in Discrete Mathematics and Optimization)

The Probabilistic Method (Wiley Series in Discrete Mathematics and Optimization)

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Introduction to Probability, Statistics, and Random Processes

Introduction to Probability, Statistics, and Random Processes

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A User's Guide to Measure Theoretic Probability

A User's Guide to Measure Theoretic Probability

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Stochastic Processes (Wiley Series in Probability and Statistics)

Stochastic Processes (Wiley Series in Probability and Statistics)

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A Modern Introduction to Probability and Statistics: Understanding Why and How (Springer Texts in Statistics)

A Modern Introduction to Probability and Statistics: Understanding Why and How (Springer Texts in Statistics)

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Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)

Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)

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Probability and Statistics for Economists

Probability and Statistics for Economists

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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)

A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)

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