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Posts of the year

Posted in Books, R, Statistics, University life with tags , , , , , , , on August 31, 2011 by xi'an

Like last year, here are the most popular posts since last August:

  1. Home page 92,982
  2. In{s}a(ne)!! 6,803
  3. “simply start over and build something better” 5,834
  4. Julien on R shortcomings 2,373
  5. Parallel processing of independent Metropolis-Hastings algorithms 1,455
  6. Do we need an integrated Bayesian/likelihood inference? 1,361
  7. Coincidence in lotteries 1,256
  8. #2 blog for the statistics geek?! 863
  9. ABC model choice not to be trusted 814
  10. Sudoku via simulated annealing 706
  11. Bayes on the Beach 2010 [2] 704
  12. News about speeding R up 688
  13. Solution manual for Introducing Monte Carlo Methods with R 688
  14. R exam 617
  15. Bayesian p-values 607
  16. Monte Carlo Statistical Methods third edition 577
  17. Le Monde puzzle [49] 499
  18. The foundations of Statistics: a simulation-based approach 493
  19.  The mistborn trilogy 492
  20. Lack of confidence in ABC model choice 487
  21. Solution manual to Bayesian Core on-line 481
  22. Bayes’ Theorem 459
  23. Julian Besag 1945-2010 452
  24. Millenium 1 [movie] 448
  25. ABC lectures [finale] 436

No major surprise in this ranking: R related blogs keep the upper part, partly thanks to being syndicated on R-bloggers, partly thanks to the tribunes contributed by Ross Ihaka and Julien Cornebise, even though I am surprised a rather low-key Le Monde puzzle made it to the list (maybe because it became part of my latest R exam?). Controversial books reviews are great traffic generators, even though the review of The foundations of Statistics: a simulation-based approach was posted less than a month ago. At last, it is comforting to see two of our major research papers for the 2010-2011 period on the list: the Parallel processing of independent Metropolis-Hastings algorithms with Pierre and Murray, and the more controversial Lack of confidence in ABC model choice with Jean-Michel and Natesh (twice). The outlier in the list is undoubtedly Bayes on the Beach 2010 [2] which got undeserved traffic for pointing out to Surfers Paradise , a highly popular entry! On my side unscientific entries, Saunderson’s Mistborn and Larson’s Millenium, McCarthy’s Border trilogy missing the top list by three entries…

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Posts of the year

Posted in Books, Kids, Statistics, Travel with tags , , , on August 13, 2010 by xi'an

Here are the top posts since last August, before the ‘Og goes on a semi-vacation regime. Even though my attempt at news with the pictures from the tornado in Central Park was rather successful, I am pleased to see that my pet project of illustrating simulated annealing on sudokus attracted more attention over the period!

  1. Home page 50,619
  2. Sudoku via simulated annealing 1,306
  3. Tornado in Central Park 998
  4. Solution manual to Bayesian Core on-line 953
  5. The Search for Certainty 827
  6. Top 15 all-timers? 716
  7. t-walk on the banana side 592
  8. Bayes vs. SAS 570
  9. New Le Monde puzzle 556
  10. Incoherent inference 547
  11. A ridiculous email 524
  12. Of black swans and bleak prospects 486
  13. About 448
  14. Bayesian p-values 420
  15. Introducing Monte Carlo Methods with R: 415
  16. Solution manual for Introducing Monte Carlo Methods with R 400
  17. t-walk on the wild side 394
  18. “Introducing Monte Carlo Methods with R” 376
  19. Bayes’ Theorem 359
  20. “Introducing Monte Carlo Methods with R” 358
  21. plagiarism exposed! 356
  22. Morning visit to The Louvre 352
  23. Rites of love and math 306
  24. On resolving the Savage-Dickey paradox 299
  25. Particle MCMC discussion 280

Maybe the most surprising item is the Morning visit to The Louvre as it is fairly mundane and does not bring much information, only impressions from our quick stroll through the museum… Less surprising is the relative success of the controversial posts like the criticisms of Black Swans and  The Search for Certainty, or of Templeton’s PNAS attack against (Bayeian) inference. And a clear interest in Introducing Monte Carlo Methods with R!

Of black swans and bleak prospects

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