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Understanding Animal Movement with State-Space Models

March 28, 2022

Speakers:

Marie Auger-Méthé

Movement data have become essential for our understanding of animal ecology. However, such data are associated with a broad range of challenges.

What is a Randomization Test?

March 23, 2022

Speakers:

Qingyuan Zhao, University of Cambridge

The meaning of randomization tests has become obscure in statistics education and practice over the last century.

Set-Based Inference in Modern Genetics Studies

March 17, 2022

Speakers:

Ryan Sun, Texas MD Anderson Cancer Centre

Modern genetics datasets continue to increase in size and complexity, with publicly accessible sources such as the UK Biobank now offering informat

Privacy and Disclosure Control in the U.S. Census

March 14, 2022

Speakers:

Steven Ruggles

Ever since the first census in 1790, Americans have expressed concerns about the census’s invasion of privacy. In response, the U.S.

Machine Learning & Causal Inference to Improve Community Health in East Africa

February 28, 2022

Speakers:

Laura Balzer

Many studies face the dual challenges of missing data and small sample sizes.

2022 Toronto Workshop on Reproducibility

February 23, 2022 to February 25, 2022

CANSSI Ontario, and the Data Sciences Institute at the University of Toronto (U of T) are excited t

Demystifying Bayesian Statistics

March 7, 2022

Speakers:

Alicia Johnson

In a survey of high-ranking institutions, only 6 of 50 colleges and 45 of 102 universities offer an undergraduate course in Bayesian statistics (Do

Using Electronic Health Records to Accelerate Research Without Sacrificing Scientific Rigor

February 14, 2022

Speakers:

Rebecca Hubbard

Opportunities to use “real world data,” including electronic health records and medical claims, have exploded over the past decade.

5 Data Science Teaching Lessons Learned the Hard Way

February 7, 2022

Speakers:

Allison Horst

Over the past decade I have developed, scrapped, redesigned and raised a number of environmental data science courses at UC Santa Barbara – and I h

No Free Lunch in Inference

January 31, 2022

Speakers:

Benjamin Bolker

Statistical methods can target exploration, prediction, or inference.

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