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IGNITING A PASSION FOR CHANGE ARSONIST OR MERE ACCELERANT?

IGNITING A PASSION FOR CHANGE ARSONIST OR MERE ACCELERANT?. George W. Cobb Mount Holyoke College GCobb@MtHolyoke.edu USCOTS 2013 Raleigh, NC May 18. IGNITING A PASSION FOR CHANGE ARSONIST OR MERE ACCELERANT?. George W. Cobb Mount Holyoke College GCobb@MtHolyoke.edu USCOTS 2013

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IGNITING A PASSION FOR CHANGE ARSONIST OR MERE ACCELERANT?

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  1. IGNITING A PASSION FOR CHANGE ARSONIST OR MERE ACCELERANT? George W. Cobb Mount Holyoke College GCobb@MtHolyoke.edu USCOTS 2013 Raleigh, NC May 18

  2. IGNITING A PASSION FOR CHANGE ARSONIST OR MERE ACCELERANT? George W. Cobb Mount Holyoke College GCobb@MtHolyoke.edu USCOTS 2013 Raleigh, NC May 18

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  4. (Just for variety)

  5. 1. TYRANNY OF THE COMPUTABLE How we think,and what we teach,are shaped by what we canand cannot compute

  6. 2. THE POWER OF SIMULATION Simulation reduces computing areas and probabilities to counting # Yes / # Reps

  7. Google Cobb, TISE

  8. 3. FISHER’S VISION Fisher wanted to base p-values on randomization, but he didn’t have the computing power. We do.

  9. P-VALUES AND BAYES • P-VALUES: Does x have a detectable effect? Does x belong in our model? • BAYES: Posterior distributions for estimation A.P. Dempster (1971) “Model searching and estimation in the logic of inference”

  10. 4. BAYESIAN INTERVALS Only Bayesian intervals condition on all the data, and only on the data we actually observed

  11. 5. SIMULATION FREES USTO TEACH WHAT REALLY MATTERS It’s not just p-values and Bayesian posteriors. We need more time on what Nick Horton and Danny Kaplan talked about yesterday.

  12. 6. THERE IS NO STATISTICAL GRAND THEORY OF EVERYTHING We need both p-values for model choosing (Does x have a detectable effect?) AND Bayesian intervals for estimation (once we have a tentative model)

  13. IGNITING A PASSION FOR CHANGE ARSONIST OR MERE ACCELERANT? George W. Cobb Mount Holyoke College GCobb@MtHolyoke.edu USCOTS 2013 Raleigh, NC May 18

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