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Outcome-Adaptive LASSO for Confounder Selection With Time-Varying Treatments

October 27, 2022

Speakers:

Mireille Schnitzer, University of Montreal

Data sparsity is a common problem when conducting causal inference with time-varying binary treatments, especially when treatment can change over m

High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing

September 8, 2022

Speakers:

Oscar Madrid Padilla, University of California

We propose a generalization of the linear panel quantile regression model to accommodate both sparse and dense parts: sparse means that while the n

Markov-Switching State Space Models for Uncovering Musical Interpretation

October 24, 2022

Speakers:

Daniel J. McDonald

For concertgoers, musical interpretation is the most important factor in determining whether or not we enjoy a classical performance.

2022 Distinguished Lecture Series in Statistical Sciences

September 29, 2022 to September 30, 2022

Speakers:

Xihong Lin

CANSSI Ontario will host the prestigious Distinguished Lecture Series in Statistical Science (DLSS).

2022 CANSSI Ontario Research Day

September 29, 2022

The CANSSI Ontario Research Day will showcase the work and discoveries by the data sciences and statistics community in Ontario.

Stochastic Spatial Random Forest for Detecting Remotely Sensed Forest Change Despite Missing Data

September 12, 2022

Speakers:

Jacinta Holloway-Brown

Forest cover is an indicator of species habitat and biodiversity that can be monitored effectively using satellite images.

Random Structures and Patterns in Spatio-Temporal Data: Probabilistic Modelling and Statistical Inference

May 24, 2022

Speakers:

Radu Stoica

The useful information carried by spatio-temporal data is often outlined by geometric structures and patterns.

Development of a Trans-Ancestry Genetic Risk Score for Prostate Cancer

May 6, 2022

Speakers:

David Conti

Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations.

Selecting Valid Instrumental Variables in Linear Models with Multiple Exposure Variables: Adaptive Lasso and the Median-of-Medians Estimator

April 28, 2022

Speakers:

Frank Windmeijer, University of Oxford

In a linear instrumental variables (IV) setting for estimating the causal effects of multiple confounded exposure/treatment variables on an outcome

Statistics Graduate Student Research Day Banner

Statistics Graduate Student Research Day 2022

May 25, 2022

The Graduate Student Research Day in the Department of Statistical Sciences at the University of Toronto is an annual showcase and celebration of r

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