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Other Seminars

Other Seminars

Toronto Data Workshop on Reproducibility

February 25, 2021 to February 26, 2021

Speakers:

Rohan Alexander, University of Toronto

The Faculty of Information and the Department of Statistical Sciences at the University of Toronto are excited to host a two-day conference bringin

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.

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.

Towards the finite-sample variance bounds for unbiased estimators

June 5, 2019

Speakers:

Ioannis Kosmidis (University of Warwick)

The inverse of the Fisher information matrix in a likelihood problem is i) the variance-covariance matrix of the asymptotic distributio

Poster of a public lecture for the speaker Frank Hevent

“Musings on Statistical Models vs Machine Learning in Health Research”.

May 2, 2019

Speakers:

Professor Frank E. Harrell, Department of Biostatistics, Vanderbilt University

Health researchers and practicing clinicians are with increasing frequency hearing about machine learning (ML) and artifici

Students listening to a talk on Research Day 2019

Statistics Graduate Student Research Day 2019

April 25, 2019

Statistics Graduate Student Research Day is an annual one day conference organized by the Department of Statistical Sciences, University of Toronto

Knock on Wood: The Stats and Science Behind Luck

April 5, 2019

Speakers:

Jeffrey Rosenthal

Some days you feel lucky, some days you don’t. Fortune is described as an invisible feeling or force.

“Get me a visualization, stat!” : Data-Driven Decision Making and the Future of Healthcare

February 28, 2019

Speakers:

Anamaria Crisan (Computer Science, University of British Columbia)

What support do we need to make decisions with data?

Black Hat Visualization

February 25, 2019

Speakers:

Michael Arthur Correll (Research Scientist, Tableau Software)

Charts and graphs are often the first or most important contact that people have with data.

Semi-Supervised Inference with Large and High Dimensional Data: A Semi-Parametric Perspective

February 25, 2019

Speakers:

Abhishek Chakrabortty (Department of Statistics, The Wharton School, University of Pennsylvania)

The abundance of large and complex datasets in the

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