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Faculty

Selective Inference on Trees

September 16, 2021

Speakers:

Lucy Gao, University of Waterloo

The ever-increasing scope and scale of data collection has shifted the focus of data collection away from testing pre-specified hypotheses and towa

Bayesian Modelling and Analysis of Challenging Data: Identifying the Intrinsic Dimension of High-Dimensional Data

September 21, 2021

Speakers:

Kerrie Mengersen

One of the challenges of high-dimensional data is identifying the true information contained therein.

Bayesian Modelling and Analysis of Challenging Data: Making New Sources of Data Trustworthy

September 20, 2021

Speakers:

Kerrie Mengersen

Evidence-based decisions depend critically on trustworthy data.

Data Science & Machine Learning at Vanguard

May 17, 2021

Speakers:

Eduardo Fontes

TBC

Picture of a faculty member Jeffrey Rosenthal

Writers on Writing

February 26, 2021

Speakers:

Jeffrey Rosenthal

From senior scholars to students, Writers on Writing shines a spotlight on Arts & Science community members who write about a dizzying array of

Photo of faculty member Jessica Gronsbell

Statistical Learning With Electronic Health Records Data

January 18, 2021

Speakers:

Jessica Gronsbell, University of Toronto

The widespread adoption of electronic health records (EHR) and their subsequent linkage to specimen biorepositories has generated massive amounts o

Evaluating Machine Learning Claims

December 21, 2020

Speakers:

Michael M. Hoffman, University of Toronto

Machine learning has already changed many areas of our society, and there is the promise of it revolutionizing others.

A Unified Framework for De-Duplication and Population Size Estimation

December 10, 2020

Speakers:

Brunero Liseo, Sapienza Università di Roma

Record linkage refers to a variety of algorithmic and statistical methods for finding entries related to the same entity in different, usually larg

Statistics and Genetics Offer a Window into Autism

December 4, 2020

Speakers:

Kathryn Roeder, Carnegie Mellon University

Recently the largest exome sequencing study to date of autism spectrum disorder (ASD) implicated 102 genes in risk.

Causal Learning: excursions in double robustness

December 3, 2020

Speakers:

Jelena Bradic, UC San Diego

Recent progress in machine learning provides many potentially effective tools to learn estimates or make predictions from datasets of ever-increasi

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