ISyE Statistic Seminar - Peter Hoff

Event Details
  • Date/Time:
    • Monday November 18, 2019
      12:00 pm - 1:00 pm
  • Location: Groseclose 402
  • Phone:
  • URL: ISyE Building
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact
No contact information submitted.
Summaries

Summary Sentence: Smaller p-values and shorter confidence intervals via information sharing

Full Summary:

Abstract:

Mixed effects models are used routinely in the biological and social sciences to share information across groups and to account for data dependence. The statistical properties of procedures derived from these models are often quite good on average across groups, but may be poor for any specific group. For example, commonly-used confidence interval procedures may maintain a target coverage rate on average across groups, but have near zero coverage rate for a group that differs substantially from the others. In this talk we discuss new confidence interval and p-value procedures that maintain group-specific frequentist guarantees, while still sharing information across groups to improve precision and power.

Title:

Smaller p-values and shorter confidence intervals via information sharing

Abstract:

Mixed effects models are used routinely in the biological and social sciences to share information across groups and to account for data dependence. The statistical properties of procedures derived from these models are often quite good on average across groups, but may be poor for any specific group. For example, commonly-used confidence interval procedures may maintain a target coverage rate on average across groups, but have near zero coverage rate for a group that differs substantially from the others. In this talk we discuss new confidence interval and p-value procedures that maintain group-specific frequentist guarantees, while still sharing information across groups to improve precision and power.

Bio:

Peter Hoff is Professor of Statistical Science at Duke University. His current research interests include multivariate statistics and hierarchical modeling. He is a Fellow of the ASA and IMS, and is the author of “A First Course in Bayesian Statistical Methods”.

Additional Information

In Campus Calendar
Yes
Groups

H. Milton Stewart School of Industrial and Systems Engineering (ISYE)

Invited Audience
Faculty/Staff, Postdoc, Public, Graduate students, Undergraduate students
Categories
Seminar/Lecture/Colloquium
Keywords
No keywords were submitted.
Status
  • Created By: Julie Smith
  • Workflow Status: Published
  • Created On: Nov 11, 2019 - 2:19pm
  • Last Updated: Nov 11, 2019 - 2:19pm