Neyman Seminar

Neyman Seminar

Neyman Seminar
Mar 14, 2012, 04:00 PM - 05:00 PM | 1011 Evans Hall | Happening As Scheduled
Xiao-Li Meng, Whipple V. N. Jones Professor of Statistics and Department Chair, Harvard University
Not impossible, but more likely you are merely a victim of conventional wisdom. More data or better models by no means guarantee better estimators (e.g., with smaller mean squared error), when you are not following coherent methods such as MLE (for large samples) or Bayesian approaches. Estimating equations are particularly dangerous in this regard, almost a necessary price for their robustness....