Loading Events

ECE DLS: Robert Tibshirani “Data Science, Statistics, and Health with a Focus on Statistical Learning and Sparsity”

Professor Robert Tibshirani, Stanford University

Online through zoom

RSVP for Prof Tibshirani’s Lecture

Title: Data Science, Statistics, and Health with a Focus on Statistical Learning and Sparsity

Abstract: First I will discuss some general issues in the application of statistics to biomedicine. These include the importance
of transparency, reproducibility and  simplicity. Then I will cover some recent advances in sparse modelling (lasso), including SNPnet for GWAS studies, and Cooperative learning, a new method for supervised multiview analysis.
Bio: Robert Tibshirani is a Professor of Biomedical Data Science, and of Statistics, at Stanford University. He has made important contributions to the statistical analysis of complex datasets. Some of his most well-known contributions are the Lasso, which uses L1 penalization in regression and related problems, generalized additive models and Significance Analysis of Microarrays (SAM). He also co-authored five widely used books ‘Generalized Additive Models’, ‘An Introduction to the Bootstrap’, ‘The Elements of Statistical Learning’, “An Introduction to Statistical learning”, and ‘Sparsity in Statistics: the Lasso and its generalizations

ECE DLS: Robert Tibshirani “Data Science, Statistics, and Health with a Focus on Statistical Learning and Sparsity”

Event Details

Venue

October 6, 2022 @ 4:00 pm - 5:00 pm

Venue

Online Event

Professor Robert Tibshirani, Stanford University

Online through zoom

RSVP for Prof Tibshirani’s Lecture

Title: Data Science, Statistics, and Health with a Focus on Statistical Learning and Sparsity

Abstract: First I will discuss some general issues in the application of statistics to biomedicine. These include the importance
of transparency, reproducibility and  simplicity. Then I will cover some recent advances in sparse modelling (lasso), including SNPnet for GWAS studies, and Cooperative learning, a new method for supervised multiview analysis.
Bio: Robert Tibshirani is a Professor of Biomedical Data Science, and of Statistics, at Stanford University. He has made important contributions to the statistical analysis of complex datasets. Some of his most well-known contributions are the Lasso, which uses L1 penalization in regression and related problems, generalized additive models and Significance Analysis of Microarrays (SAM). He also co-authored five widely used books ‘Generalized Additive Models’, ‘An Introduction to the Bootstrap’, ‘The Elements of Statistical Learning’, “An Introduction to Statistical learning”, and ‘Sparsity in Statistics: the Lasso and its generalizations

Details

Date:
October 6, 2022
Time:
4:00 pm - 5:00 pm
Event Category:
Website:
https://www.ece.utoronto.ca/about/speaker-series/distinguished-lectures/

Upcoming Events

All
  • All
  • Alumni events
  • Anti-Racism and Cultural Diversity Office events
  • Convocation events
  • Faculty & staff events
  • Holidays
  • Info sessions
  • Lectures, seminars and workshops
  • Socials
  • U of T holidays & closures

Presidential Day

Fri August 1, 2025
The university will be closed.

San Francisco, USA: August Alumni Hike

Sat August 2, 2025 @ 10:30 am - 12:30 pm
Redwood City, CA United States
Attention U of T Engineering alumni in the Bay area! Our monthly hike is back with the August edition. We’re partnering with the AI Collective* and inviting all Canadians in the Bay Area to...

Civic Holiday

Mon August 4, 2025
The university will be closed.  Enjoy the holiday!

Summer Skule: U of T Engineering lectures on demand

Sun August 31, 2025
The summer months means new opportunities for lifelong learning, starting with this curated line-up of our most popular alumni events. If you missed any of our events this past year, now’s...