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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
by
4.43 avg rating — 1,888 ratings
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| 2 |
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Information Geometry: Near Randomness and Near Independence (Lecture Notes in Mathematics, 1953)
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4.67 avg rating — 3 ratings
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| 3 |
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Statistical Inference
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4.17 avg rating — 395 ratings
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| 4 |
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Learning Theory: An Approximation Theory Viewpoint (Cambridge Monographs on Applied and Computational Mathematics, Series Number 24)
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really liked it 4.00 avg rating — 4 ratings
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| 5 |
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Bayesian Data Analysis
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4.21 avg rating — 539 ratings
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| 6 |
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Theoretical Statistics: Topics for a Core Course
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it was amazing 5.00 avg rating — 3 ratings
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| 7 |
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Statistical Rethinking: A Bayesian Course with Examples in R and STAN
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4.70 avg rating — 520 ratings
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| 8 |
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Information Geometry and Its Applications (Applied Mathematical Sciences, 194)
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4.57 avg rating — 7 ratings
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| 9 |
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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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| 10 |
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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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| 11 |
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A Student’s Guide to Bayesian Statistics
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4.46 avg rating — 80 ratings
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| 12 |
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Topological Data Analysis for Genomics and Evolution: Topology in Biology
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4.27 avg rating — 11 ratings
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| 13 |
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Regression and Other Stories
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4.28 avg rating — 123 ratings
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| 14 |
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Optimal Statistical Decisions
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4.20 avg rating — 5 ratings
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| 15 |
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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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| 16 |
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Philosophy of Statistics (Volume 7) (Handbook of the Philosophy of Science, Volume 7)
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really liked it 4.00 avg rating — 6 ratings
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| 17 |
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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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| 18 |
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A Distribution-Free Theory of Nonparametric Regression (Springer Series in Statistics)
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4.40 avg rating — 5 ratings
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| 19 |
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The Minimum Description Length Principle
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4.08 avg rating — 12 ratings
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| 20 |
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Algebraic Geometry and Statistical Learning Theory (Cambridge Monographs on Applied and Computational Mathematics, Series Number 25)
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4.38 avg rating — 13 ratings
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| 21 |
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Time Series Analysis by State Space Methods
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4.57 avg rating — 7 ratings
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| 22 |
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Numerical Analysis for Statisticians
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4.50 avg rating — 6 ratings
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| 23 |
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Science and Information Theory
by
4.73 avg rating — 11 ratings
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| 24 |
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Methods of Information Geometry (Translations of Mathematical Monographs) (v. 191)
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4.50 avg rating — 10 ratings
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| 25 |
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Poisson Processes
by
4.44 avg rating — 18 ratings
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| 26 |
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Nonlinear Time Series Analysis
by
4.39 avg rating — 23 ratings
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| 27 |
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Information Theory, Inference, and Learning Algorithms
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4.52 avg rating — 488 ratings
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| 28 |
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Machine Learning: A Probabilistic Perspective
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4.34 avg rating — 520 ratings
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| 29 |
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An Introduction to Statistical Learning: with Applications in R
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4.59 avg rating — 2,336 ratings
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