Data Science Institute Colloquium: Robert Tibshirani, Stanford University

Thursday, May 4, 2017
4:30 PM - 5:30 PM
Add to Calendar

Link added to clipboard:

https://events.columbia.edu/cal/event/eventView.do?b=de&calPath=%2Fpublic%2Fcals%2FMainCal&guid=CAL-00bbdc41-5ba42c3e-015b-a569587f-0000614aevents@columbia.edu&recurrenceId=
Robert Tibshirani, Professor of Biomedical Data Science, and Statistics
Stanford University

TITLE: Recent Advances in Post-Selection Statistical Inference

ABSTRACT: In this era of big data and complex statistical modeling, scientists use sophisticated computational tools to search through a large number of models, looking for meaningful patterns. The challenge is then to judge the strength of a large number of apparent associations that have been found. This statistical problem has become known as ?Post-selection inference,? the assessment of significance and effect sizes from a data-set after mining the same data to find these associations. In this talk I will discuss new methods for computing p-values and confidence intervals in regression, that correctly account for the adaptive selection of the model.

This is joint work with Jonathan Taylor, Ryan Tibshirani, Will Fithian and Richard Lockhart.
Robert Tibshirani's main interests are in applied statistics, biostatistics, and data mining. He is co-author of the books Generalized Additive Models (with T. Hastie), An Introduction to the Bootstrap (with B. Efron), and Elements of Statistical Learning (with T. Hastie and J. Friedman). His current research focuses on problems in biology and genomics, medicine, and industry. With collaborator Balasubramanian Narasimhan, he also develops software packages for genomics and proteomics.

LIGHT FARE AVAILABLE | OPEN TO THE PUBLIC | REGISTRATION NOT REQUIRED

This is a joint colloquium with the Data Science Institute and Department of Statistics.
Event Contact Information:
Data Science Institute
212-854-5660
[email protected]
LOCATION:
  • Morningside
TYPE:
  • Seminar
CATEGORY:
  • Engineering
  • Computer Science
EVENTS OPEN TO:
  • Alumni
  • Faculty
  • Staff
  • Students
  • Public
  • Postdocs
BACK TO EVENTS

Date Navigation Widget

Filter By

Subscribe Export Options

Getting to Columbia

Other Calendars

Guests With Disabilities