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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

Crafting Kind Tools

April 12, 2021

Speakers:

Alison Hill, RStudio

We are all tool-makers. If you are an educator, your lessons are tools. You make them to be used by students.

CANSSI & CANSSI Ontario Town Hall Meeting

April 5, 2021

Speakers:

CANSSI & CANSSI Ontario

The Canadian Statistical Sciences Institute (CANSSI) and CANSSI Ontario will host a virtual Town Hall to update and engage the Ontario data science

Functional Data in Constrained Spaces

March 29, 2021

Speakers:

John Aston, University of Cambridge

Functional Data Analysis is concerned with the statistical analysis of data which are curves or surfaces.

Astrostatistics: From Exoplanets to the Large-scale Structure of the Universe

March 22, 2021

Speakers:

Jessi Cisewski-Kehe

The field of astrostatistics has seen substantial growth over the past decade with interest in many areas of astronomy.

Teaching Data Science in the Real World

March 1, 2021

Speakers:

Rebecca Barter, University of California, Berkeley

Data science is often viewed as a subfield of statistics and/or computer science, and is thus often taught accordingly with a focus on mathematical

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