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The Art of Statistics: Lear...

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An Introduction to Statisti...

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Statistical Inference

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The Elements of Statistical...

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Principles of Statistics (D...

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Machine Learning: A Probabi...

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Information Theory, Inferen...

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All of Statistics: A Concis...

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Schaum's Outline of Probabi...

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Bayesian Data Analysis

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Probability and Statistics ...

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Statistical Rethinking: A B...

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Statistics As Principled Ar...

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An Introduction to the Boot...

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Gaussian Processes for Mach...

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A Student’s Guide to Bayesi...

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Foundations of Machine Lear...

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Regression and Other Stories

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TEACHING STATISTICS:BAG OF ...

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In All Likelihood: Statisti...

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Schaum's Outline of Introdu...

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Large-Scale Inference: Empi...

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Statistical Decision Theory...

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The Minimum Description Len...

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All of Nonparametric Statis...

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Essentials of Statistical I...

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Kernel Methods for Pattern ...

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Principles of Statistical I...

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The Nature of Statistical L...

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Statistical Models (Cambrid...

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An Introduction to Multivar...

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Statistics for High-Dimensi...

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Information Theory and Stat...

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Computational Statistics

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Nonlinear Time Series Analysis

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Fundamentals of Nonparametr...

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Theory of Point Estimation

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Geometric Modeling in Proba...

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Elements of Large-Sample Th...

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Matrix Algebra: Theory, Com...

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Poisson Processes

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Foundations of Data Science

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Mathematical Statistics

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Principal Component Analysi...

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Computational Statistics

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Forecasting, Structural Tim...

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Time Series: Theory and Met...

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Methods of Information Geom...

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Science and Information Theory

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Numerical Analysis for Stat...

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A Mathematical Theory of Ev...

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Time Series Analysis by Sta...

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Algebraic Geometry and Stat...

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A Distribution-Free Theory ...

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Probabilistic Graphical Mod...

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Principles of Uncertainty

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Philosophy of Statistics (V...

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Optimal Statistical Decisions

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Topological Data Analysis f...

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High-Dimensional Statistics...

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Information Geometry and It...

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Theoretical Statistics: Top...

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Numerical Methods of Statis...

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Networks: Optimisation and ...

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Learning Theory: An Approxi...

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Information Geometry: Near ...

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