Data Science Institute Colloquium: Robert Tibshirani, Stanford University
Thursday,
May 4, 2017
4:30 PM - 5:30 PM
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.
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.
LIGHT FARE AVAILABLE | OPEN TO THE PUBLIC | REGISTRATION NOT REQUIRED
This is a joint colloquium with the Data Science Institute and Department of Statistics.
LOCATION:
← BACK TO EVENTS
- Morningside
- Seminar
- Engineering
- Computer Science
- Alumni
- Faculty
- Staff
- Students
- Public
- Postdocs
Date Navigation Widget
Getting to Columbia
Other Calendars
- Alumni Events
- Barnard College
- Columbia Business School
- Columbia College
- Committee on Global Thought
- Heyman Center
- Jewish Theological Seminary
- Miller Theatre
- School of Engineering & Applied Science
- School of Social Work
- Teachers College
Guests With Disabilities
- Columbia University makes every effort to accommodate individuals with disabilities. Please notify us if you need any assistance by contacting the event’s point person. Alternatively, the Office of Disability Services can be reached at 212.854.2388 and [email protected]. Thank you.