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Probability Theory: A Comprehensive Course
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4.67 avg rating — 15 ratings
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| 2 |
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Probability: Theory and Examples (Cambridge Series in Statistical and Probabilistic Mathematics Book 49)
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3.85 avg rating — 47 ratings
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| 3 |
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An Introduction to Probability Theory and Its Applications, Volume 1
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4.31 avg rating — 162 ratings
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| 4 |
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An Introduction to Probability Theory and Its Applications, Volume 2
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4.11 avg rating — 35 ratings
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| 5 |
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Probability and Measure (Wiley Series in Probability and Statistics Book 938)
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4.24 avg rating — 68 ratings
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| 6 |
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Probability with Martingales (Cambridge Mathematical Textbooks)
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4.21 avg rating — 70 ratings
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| 7 |
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Theory of Probability: A Critical Introductory Treatment (Wiley Series in Probability and Statistics): 6
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4.60 avg rating — 5 ratings
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| 8 |
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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4.43 avg rating — 1,884 ratings
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| 9 |
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The Nature of Statistical Learning Theory
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4.29 avg rating — 35 ratings
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| 10 |
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Information Theory and Statistics (Dover Books on Mathematics)
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4.05 avg rating — 20 ratings
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| 11 |
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Information Criteria and Statistical Modeling (Springer Series in Statistics)
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| 12 |
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Statistical Decision Theory and Bayesian Analysis (Springer Series in Statistics)
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4.19 avg rating — 36 ratings
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| 13 |
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The Minimum Description Length Principle
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4.08 avg rating — 12 ratings
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| 14 |
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Statistical Inference
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4.17 avg rating — 396 ratings
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| 15 |
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Principles of Statistical Inference
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| 16 |
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Principles of Applied Statistics
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3.67 avg rating — 18 ratings
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| 17 |
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Essentials of Statistical Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 16)
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4.08 avg rating — 12 ratings
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| 18 |
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Statistical Inference
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4.50 avg rating — 2 ratings
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| 19 |
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In All Likelihood: Statistical Modelling and Inference Using Likelihood
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4.29 avg rating — 28 ratings
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| 20 |
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Statistical Design
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4.67 avg rating — 6 ratings
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| 21 |
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Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
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4.33 avg rating — 3 ratings
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| 22 |
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An Introduction to the Bootstrap (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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4.32 avg rating — 66 ratings
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| 23 |
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Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction
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4.14 avg rating — 22 ratings
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| 24 |
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Computational Statistics
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3.61 avg rating — 18 ratings
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| 25 |
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Computational Statistics
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| 26 |
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Data Science for Mathematicians
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| 27 |
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High-Dimensional Probability: An Introduction with Applications in Data Science
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4.68 avg rating — 34 ratings
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| 28 |
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High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 48)
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4.67 avg rating — 24 ratings
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| 29 |
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Networks
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4.24 avg rating — 207 ratings
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| 30 |
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Spectra of Graphs
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4.20 avg rating — 5 ratings
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| 31 |
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Random Graphs (Cambridge Studies in Advanced Mathematics, Series Number 73)
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3.78 avg rating — 9 ratings
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| 32 |
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Algorithms and Models for Network Data and Link Analysis
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3.50 avg rating — 2 ratings
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| 33 |
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Principal Component Analysis (Springer Series in Statistics)
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4.27 avg rating — 15 ratings
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| 34 |
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Time Series: Theory and Methods: Time Series: Theory and Methods (Springer Series in Statistics)
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| 35 |
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Nonlinear Time Series Analysis
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4.39 avg rating — 23 ratings
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| 36 |
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Chaos and Time-Series Analysis
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4.44 avg rating — 16 ratings
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| 37 |
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Markov Chains: Gibbs Fields, Monte Carlo Simulation and Queues
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3.90 avg rating — 10 ratings
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| 38 |
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Markov Chains and Mixing Times
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4.25 avg rating — 20 ratings
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| 39 |
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Foundations of Modern Probability
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4.14 avg rating — 37 ratings
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| 40 |
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An Introduction to Stochastic Differential Equations
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4.31 avg rating — 16 ratings
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| 41 |
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First Steps in Random Walks: From Tools to Applications
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