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Sebastian Thompson
's votes on the list
Statistics and Statistical Learning (MMath)
(13 Books)
1
Probability and Statistics (4th Edition)
by
Morris H. DeGroot
3.85 avg rating — 133 ratings
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Schaum's Outline of Probability and Statistics
by
Murray R. Spiegel
3.78 avg rating — 168 ratings
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3
All of Statistics: A Concise Course in Statistical Inference
by
Larry Wasserman
4.26 avg rating — 402 ratings
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Principles of Statistics (Dover Books on Mathematics)
by
M.G. Bulmer
3.99 avg rating — 1,401 ratings
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5
The Art of Statistics: Learning from Data
by
David Spiegelhalter
4.15 avg rating — 5,641 ratings
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6
Information Theory, Inference, and Learning Algorithms
by
David J.C. MacKay
4.52 avg rating — 487 ratings
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7
An Introduction to Statistical Learning: with Applications in R
by
Gareth James
4.59 avg rating — 2,332 ratings
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Statistical Rethinking: A Bayesian Course with Examples in R and STAN
by
Richard McElreath
4.70 avg rating — 519 ratings
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9
Bayesian Data Analysis
by
Professor in the Department of Statistics Andrew Gelman
4.21 avg rating — 539 ratings
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10
Machine Learning: A Probabilistic Perspective
by
Kevin P. Murphy
4.34 avg rating — 520 ratings
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11
Statistical Inference
by
George Casella
4.17 avg rating — 396 ratings
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12
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
by
Trevor Hastie
4.43 avg rating — 1,884 ratings
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13
Probability and Statistics for Engineers and Scientists
by
Ronald E. Walpole
4.08 avg rating — 414 ratings
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