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√Doing Bayesian Data Analysis: A Tutorial with R and BUGS: John K. Kruschke: 9780123814852: Amazon.com: Books
Lecture Notes
Khan Academy, Statistics: http://www.khanacademy.org/#stat...
Shalizi, 35-350: http://www.stat.cmu.edu/~cshaliz...
Shalizi, 36-402: 36-402, Undergraduate Advanced Data Analysis
Phillips, CS5961: http://www.eng.utah.edu/~cs5961/
Statistics 110: Probability by Joe Blitzstein
Books
Tutorials
Q&A
People & Communities
Other
(This is a live list. Edits and additions welcome)
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Start with
√Doing Bayesian Data Analysis: A Tutorial with R and BUGS: John K. Kruschke: 9780123814852: Amazon.com: Books
Lecture Notes
Khan Academy, Statistics: http://www.khanacademy.org/#stat...
Shalizi, 35-350: http://www.stat.cmu.edu/~cshaliz...
Shalizi, 36-402: 36-402, Undergraduate Advanced Data Analysis
Phillips, CS5961: http://www.eng.utah.edu/~cs5961/
Statistics 110: Probability by Joe Blitzstein
Books
- Amazon.com: Fundamentals of Applied Probability Theory (9780070178151): Alvin W. Drake: Books
- Amazon.com: Probability and Random Processes (9780198572220): Geoffrey R. Grimmett, David R. Stirzaker: Books
- Probability with Martingales (Cambridge Mathematical Textbooks): David Williams: 9780521406055: Amazon.com: Books
- Amazon.com: Probability (Classics in Applied Mathematics) (9780898712964): Leo Breiman: Books
- A First Course in Stochastic Processes, Second Edition: Samuel Karlin, Howard M. Taylor: 9780123985521: Amazon.com: Books
- Neveu, for the mathematically inclined
- Everitt & Hothorn, A Handbook of Statistical Analyses Using R: http://www.amazon.com/Handbook-S...
- Gelman, Data Analysis Using Regression and Multilevel/Hierarchical Models:
- Gelman, Bayesian Data Analysis: http://www.amazon.com/Bayesian-A...
- Faraway, Linear models with R: http://www.amazon.com/Linear-Mod...
- Albert, Bayesian computation with R:
- Spector, Data Manipulation with R:
- Cowpertwait & Metcalfe, Introductory Time Series with R: http://www.amazon.com/gp/product...
- Venables & Ripley, Modern Applied Statistics with S: http://www.amazon.com/Modern-App...
- Izenman, Modern Multivariate Statistical Techniques: Regression,
Classification, and Manifold Learning:
http://www.amazon.com/Modern-Mul... - Hollander& Wolfe, Nonparametric Statistical Methods: http://www.amazon.com/Nonparamet...
- Allison, Survival analysis using SAS: http://www.amazon.com/Survival-A...
- Bevington & Robinson, Data Reduction and Error Analysis for The Physical Sciences: http://www.amazon.com/Reduction-...
- Deming, Statistical adjustment of data: http://www.amazon.com/Statistica...
- Greene, Econometric Analysis: http://www.amazon.com/Econometri...
- Bernardo & Smith, Bayesian Theory: http://www.amazon.com/Bayesian-T...
- Seber &Wild, Nonlinear Regression: http://www.amazon.com/Nonlinear-...
- Sivia & Skilling, Bayesian Data Analysis: http://www.amazon.com/Data-Analy...
- Casella & Berger, Statistical Inference: http://www.amazon.com/Statistica...
- Geisser: Predictive inference: http://www.amazon.com/Predictive...
- Davison & Hinkley, Bootstrap Methods and Their Application: http://www.amazon.com/Bootstrap-...
- Hastie, Tibshirani & Friedman,The Elements of Statistical Learning: http://www-stat.stanford.edu/~ti...
- Efron & Tibshirani, An Introduction to the Bootstrap: http://www.amazon.com/Introducti...
- Duda & Hart, Pattern Classification and Scene Analysis: http://www.amazon.com/Pattern-Cl...
- Vapnik, The nature of statistical learning theory: http://www.amazon.com/Nature-Sta...
- Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Computing Series): Keinosuke Fukunaga: 9780122698514: Amazon.com: Books
- Amazon.com: Boosting: Foundations and Algorithms (Adaptive Computation and Machine Learning series) (9780262017183): Robert E. Schapire, Yoav Freund: Books
- Huber & Ronchetti, Robust Statistics: http://www.amazon.com/Robust-Sta...
- Gamerman & Lopes, Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference: http://www.amazon.com/Markov-Cha...
- Tanner, Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions: http://www.amazon.com/Tools-Stat...
- Tukey, Exploratory Data Analysis: http://www.amazon.com/Explorator....
- Wald, Statistical Decision Functions: http://www.amazon.com/Statistica...
- Good Freely Available Textbooks on
Machine Learning
http://metaoptimize.com/qa/quest... - Rissanen, Lectures on Statistical Modeling Theory:
http://www.mdl-research.org/pub/... - Wasserman, All of Statistics: A Concise Course in Statistical Inference: http://www.amazon.com/All-Statis...
- Johnstone, Function Estimation and Gaussian Sequence Models: www-stat.stanford.edu/~imj/baseb.ps
- Whittaker, Graphical Models in Applied Multivariate Statistics: http://www.amazon.com/Graphical-...
- Berk, Statistical Learning from a Regression Perspective: http://www.amazon.com/Statistica...
- Blackwell & Girshick, Theory of Games and Statistical Decisions: http://www.amazon.com/Theory-Gam...
Tutorials
- Knight, Bayesian Inference with Tears: http://www.isi.edu/natural-langu...
- Rabiner,
tutorial on HMMs for selected applications in speech recognition:
http://citeseerx.ist.psu.edu/vie... - Breiman, Random Forests:
http://www.springerlink.com/cont...
Q&A
- What is the best way to learn statistics for psychology?
- What are some good resources to get started with Information Retrieval? Why?
- What are some good resources for learning about numerical analysis?
- How do I learn machine learning?
- What are some good resources for learning about signal estimation and detection?
- What are some good resources to learn about optimization?
- What is the difference between statistics and machine learning?
- What is a good statistics textbook for someone with a strong mathematics/physics background?
- What book on probability and statistics would be comparable in writing style and quality to Gilbert Strang's books on calculus and linear algebra?
- What are some good books/papers on generalized linear models?
- What are the standard texts on linear regression?
- What are some real-life applications of Bayesian Belief Networks?
- What is the difference between Bayesian and frequentist statisticians?
- What are essential references for R?
- What are some free, public data sets?
- Where can I find large datasets open to the public?
- http://www.quora.com/Statistics-mathematical-science/best_questions
People & Communities
- http://metaoptimize.com/qa/
- What are the best blogs about data?
- http://en.wikibooks.org/wiki/R_P...
- http://www.r-statistics.com/2011...
Other
- Google Refine: http://code.google.com/p/google-...
- Matlab Statistics Toolbox: http://www.mathworks.com/product...
- R: http://www.r-project.org/
- Statcodes: On-line statistical software for astronomy and related fields: http://www2.astro.psu.edu/statco... (thanks to Alex K. Chen for the link)
- Hastie & Tibshirani, State-of-the-Art Statistical Methods for Data Analysis seminar: http://www.stanford.edu/~hastie/... (next session: Harvard Conference Center, Boston - September 22 and 23, 2011)
- http://www.stat.columbia.edu/dir...
- http://norvig.com/chomsky.html
- Wes McKinney, A Roadmap for Rich Scientific Data Structures in Python: http://wesmckinney.com/blog/?p=77
- Why Biased Minds Make Better Inferences: http://library.mpib-berlin.mpg.d...
- A tutorial introduction to Bayesian models of cognitive development http://cocosci.berkeley.edu/tom/... (also see http://web.mit.edu/cocosci/josh.... )
- PECOTA: http://en.wikipedia.org/wiki/PECOTA
(This is a live list. Edits and additions welcome)
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