Hacker News
- The Psychology of the Near Miss (1986) [pdf] https://www.stat.berkeley.edu/~aldous/157/Papers/near_miss.pdf 0 comments
- What has a 1 in a million chance? (2010) https://www.stat.berkeley.edu/~aldous/Real-World/million.html 187 comments
- To Explain or to Predict? (2010) [pdf] https://www.stat.berkeley.edu/~aldous/157/Papers/shmueli.pdf 6 comments
- 40k coin tosses yield ambiguous evidence for dynamical bias https://www.stat.berkeley.edu/~aldous/Real-World/coin_tosses.html 117 comments
- Introduction to Probability at an advanced level (2018) [pdf] https://www.stat.berkeley.edu/~aditya/resources/AllLectures2018Fall201A.pdf 14 comments
- Theoretical Statistics – All Lectures (2018) [pdf] https://www.stat.berkeley.edu/~aditya/resources/FullNotes210BSpring2018.pdf 7 comments
- Using Prediction Markets to Track Information Flows: Evidence from Google [pdf] https://www.stat.berkeley.edu/users/aldous/157/Papers/GooglePredictionMarketPaper.pdf 19 comments
- You can load a die but you can’t bias a coin (2002) http://www.stat.berkeley.edu/~nolan/Papers/dice.pdf 2 comments
- A critique of The Black Swan http://www.stat.berkeley.edu/~aldous/157/Books/taleb.html 16 comments
- Top Ten Things that Math Probability Says about the Real World http://www.stat.berkeley.edu/~aldous/Top_Ten/talk.html 10 comments
- Do you know what book it is? https://www.stat.berkeley.edu/~brill/Stat131a/29_multi.pdf 18 comments datascience
- Install Help: SMA package on R v.3.0.1 http://www.stat.berkeley.edu/~terry/zarray/Software/smacode.html 3 comments rstats
- Huber-White 'Robust' standard errors for Maximum Likelihood, and meaningless parameter estimates. Any thoughts on this? Not a terribly long paper. http://www.stat.berkeley.edu/~census/mlesan.pdf 3 comments statistics
- Berkeley undergraduate course: Concepts in Computing with Data. Covers R, SQL, XML, CGI. Contains Lecture Notes and Assignments. http://www.stat.berkeley.edu/users/spector/s133/ 6 comments statistics
- Top ten things probabilities tell us about the world (and ourselves!). Very interesting read. http://www.stat.berkeley.edu/~aldous/top_ten/talk.html 3 comments reddit.com