3 Day 3 (January 28)

3.1 Announcements

• Sorry about not answering emails

• Activity 1 is posted

  • It is an activity not and assignment. Not part of your grade and you don’t have to hand it in.

• Selected questions/clarifications from journals

  • A model for one person may not be a model for another person
  • Some of you keep asking questions about models/material in Ch. 6
    • Example with flipping a coin
  • Estimation, uncertainty, and efficiency
  • “Bad data in means bad products out” is a recurring statement in many courses
  • Bayesian model seems very flexible with small datasets, however at what point is the researcher adding in too many assumptions? Is there ever a point where the researcher would need to get more data points even for Bayesian models?
  • MCMC and the posterior dist?
  • Do you have to always use a normal PDF for randome effects?
  • The game of statistical modeling and scientific inference?

• Donuts and meeting your peers

  • Opportunity for 2 magical extra credit points
  • Bring computer to work on Activity 1