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Graduate Students

Teaching with Computation and Data Science Across the Social Science

October 21, 2021

Speakers:

Michael Widener

Ayobami Laniyonu

Fedor Dokshin

In the first session of the new Computation and Data Science Education Community of Practice (CDS Education CoP), Professors Michael Widener (Depar

A Top-Down Approach Toward Understanding Deep Learning

October 21, 2021

Speakers:

Weijie Su, University of Pennsylvania

The remarkable development of deep learning over the past decade relies heavily on sophisticated heuristics and tricks.

What I Learned Applying for Faculty Positions

October 14, 2021

Speakers:

Jessica Gronsbell, University of Toronto

I completed my academic job search a couple of years ago. It was an overwhelming, exhausting, and amazing experience.

Bayesian Inference for Star Clusters

October 7, 2021

Speakers:

Gwendolyn Eadie, University of Toronto

The Milky Way Galaxy is surrounded by a population of roughly 150 old star clusters, referred to as globular clusters. Inferring the distribution

Non-Central Squared Copulas: Properties and Applications

September 30, 2021

Speakers:

Bouchra Nasri, University of Montreal

The goal of this presentation is to introduce new families of multivariate copulas, extending the chi-square copulas, the Fisher copula, and square

Genetic Methods for Biology and Epidemiology

October 1, 2021

Speakers:

Benjamin Neale

Dr.

Learning Individualized Treatment Rule for a Target Population

September 23, 2021

Speakers:

Guanhua Chen, University of Wisconsin-Madison

Current literature focus on deriving individualized treatment rules (ITRs) from a single source population.

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.

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