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1Algorithms for Decision Making - dm.pdf
https://algorithmsbook.com/files/dm.pdf
3 years ago by @bshanks
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1The Craft of Probabilistic Modelling - Google Books
https://www.google.co.in/books/edition/The_Craft_of_Probabilistic_Modelling/je_lBwAAQBAJ
4 years ago by @analyst
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1Probabilistic Deep Learning | Manning
https://www.manning.com/books/probabilistic-deep-learning
4 years ago by @analyst
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1Introduction to Probability
Introduction to Probability Online Course - Book
5 years ago by @kirk86
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1Stochastic Processes Book
Stochastic Processes Book @ Uni Auckland
5 years ago by @kirk86
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1Foundations of Probability Book
Foundations of Probability Book
5 years ago by @kirk86
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4Introduction to Probability Book
Introduction to Probability Book @ Dartmouth http://www.dartmouth.edu/~chance/teaching_aids/books_articles/probability_book/amsbook.mac.pdf
5 years ago by @kirk86
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1The Statistics of Measurements
The Statistics of Measurements Book by Christopher L. Stevenson
5 years ago by @kirk86
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1Topics in random matrix theory
Topics in random matrix theory book by Terence Tao
5 years ago by @kirk86
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1Handbook of Graphical Models
Handbook of Graphical Models by Statisticians
5 years ago by @kirk86
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1Hand-book on STATISTICAL DISTRIBUTIONS for experimentalists
Hand-book on STATISTICAL DISTRIBUTIONS for experimentalists
5 years ago by @kirk86
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1Basic Probability Theory
Basic Probability Theory Book
5 years ago by @kirk86
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1Probability
Probability, The Analysis of Data Volume 1
5 years ago by @kirk86
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1Probability, The Analysis of Data Volume 1
Probability, The Analysis of Data Volume 1
5 years ago by @kirk86
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1Graphical Models Book Michael Jordan
Graphical Models Intro by Michael Jordan
5 years ago by @kirk86
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1Interactions between Compressed sensing Random matrices and High dimensional geometry
http://lecueguillaume.github.io/assets/CSbook.pdf
5 years ago by @kirk86
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118.S997 High-Dimensional Statistics: Complete Lecture Notes
https://ocw.mit.edu/courses/mathematics/18-s997-high-dimensional-statistics-spring-2015/lecture-notes/MIT18_S997S15_CourseNotes.pdf
5 years ago by @kirk86
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1Probability in High Dimensions
https://web.math.princeton.edu/~rvan/APC550.pdf
5 years ago by @kirk86
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1Landau Damping
https://www.cedricvillani.org/sites/dev/files/old_images/2012/08/B13.Landau.pdf
5 years ago by @kirk86
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1A review of mathematical topics in collisional kinetic theory
https://www.cedricvillani.org/sites/dev/files/old_images/2012/08/preprint.pdf
5 years ago by @kirk86
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1Optimal Transport Old and New
https://www.cedricvillani.org/sites/dev/files/old_images/2012/08/preprint-1.pdf
5 years ago by @kirk86
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1DeGroot4thEdition.pdf
https://www.math.upenn.edu/~ted/210S18/References/DeGroot4thEdition.pdf
5 years ago by @kirk86
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1SticiGui Table of Contents
https://www.stat.berkeley.edu/~stark/SticiGui/Text/toc.htm
6 years ago by @kirk86
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1Mehryar Mohri -- Foundations of Machine Learning - Book
https://cs.nyu.edu/~mohri/mlbook/
6 years ago by @kirk86
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3Seeing Theory
A visual introduction to probability and statistics.
6 years ago by @analyst
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2Causal Inference Book | Miguel Hernan | Harvard T.H. Chan School of Public Health
Citation: Hernán MA, Robins JM (2018). Causal Inference. Boca Raton: Chapman & Hall/CRC, forthcoming.
6 years ago by @analyst
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1Introduction · Computational and Inferential Thinking
https://www.inferentialthinking.com/
7 years ago by @bshanks
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1Probability and Computing: Randomization and Probabilistic Techniques in ... - Michael Mitzenmacher, Eli Upfal - Google Books
https://books.google.com/books?id=E9UlDwAAQBAJ&pg=PA1&source=kp_read_button#v=onepage&q&f=false
7 years ago by @bshanks
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1Random: Probability, Mathematical Statistics, Stochastic Processes
http://www.randomservices.org/random/index.html
7 years ago by @iblis
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4Bayesian Methods for Hackers
Bayesian Methods for Hackers : An intro to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view.
8 years ago by @bshanks
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2PROBABILITY THEORY -- THE LOGIC OF SCIENCE
http://omega.math.albany.edu:8008/JaynesBook.html
16 years ago by @flykeysky
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1Analysis and Geometry of Markov Diffusion Operators
D. Bakry, I. Gentil, and M. Ledoux. (2014)
4 years ago by @kirk86
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1Random matrices
R. Speicher, and M. Banna. (2018)
5 years ago by @kirk86
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1Free Probability and Random Matrices
J. Mingo, and R. Speicher. (2017)
5 years ago by @kirk86
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1Lectures on the Combinatorics of Free Probability Theory
A. Nica, and R. Speicher. (2018)
5 years ago by @kirk86
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1Free Probability Theory
R. Speicher. (2018)
5 years ago by @kirk86
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1Non-Commutative Probability Theory
P. Mitchener. (2005)
5 years ago by @kirk86
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1Theory of Distributions
G. Hormann, and R. Steinbauer. (2009)
5 years ago by @kirk86
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3Introduction to Probability
D. Bertsekas, and J. Tsitsiklis. (2008)
5 years ago by @kirk86
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1Probability in High Dimension
R. van Handel. (2016)
5 years ago by @kirk86
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2An Introduction to Matrix Concentration Inequalities
J. Tropp. (2015)cite arxiv:1501.01571Comment: 163 pages. To appear in Foundations and Trends in Machine Learning.
5 years ago by @kirk86
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1Concentration of Measure Inequalities in Information Theory, Communications and Coding (Second Edition)
M. Raginsky, and I. Sason. (2012)cite arxiv:1212.4663Comment: Foundations and Trends in Communications and Information Theory, vol. 10, no 1-2, pp. 1-248, 2013. Second edition was published in October 2014. ISBN to printed book: 978-1-60198-906-2.
5 years ago by @kirk86
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2Probability in High Dimensions
R. van Handel. (2016)
6 years ago by @kirk86
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1High-Dimensional Probability
R. Vershynin. (2019)
6 years ago by @kirk86
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1High Dimensional Probability
R. Vershynin. (2016)
6 years ago by @kirk86
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1Introduction to Probability Second Edition
J. K. Blitzstein, and J. Hwang. (2019)
6 years ago by @kirk86
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2Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics
A. DasGupta. Springer Texts in Statistics Springer New York, (2011)
6 years ago by @analyst
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2Introduction to Probability and Statistics for Engineers and Scientists, Student Solutions Manual
S. Ross. Elsevier Science, Fourth edition, (2009)
6 years ago by @analyst
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3A Tutorial on Thompson Sampling
D. Russo, B. Roy, A. Kazerouni, I. Osband, and Z. Wen. Foundations and Trends® in Machine Learning, 11 (1): 1--96 (2018)
6 years ago by @analyst
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1Discrete-state Markov Processes
A. Drake. Fundamentals of applied probability theory, chapter Discrete-state Markov Processes, McGraw-Hill, New York, (1967)
12 years ago by @telekoma
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8An Introduction to Probability Theory and Its Applications
W. Feller. Wiley, (January 1968)
18 years ago by @andreab
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