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Seminar Series

Seminar Series

Convolution-Type Smoothing Approach for Quantile Regression

November 24, 2022

Speakers:

Kean Ming Tan, University of Michigan

Quantile regression is a powerful tool for learning the relationship between a response variable and a multivariate predictor while exploring heter

Modelling Non-Gaussian Spatio-Temporal Processes

November 3, 2022

Speakers:

Alexandra Schmidt, McGill University

In the analysis of most spatiotemporal processes in environmental studies, observations present distributions that are not normal.

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

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

Combined Analysis of Spatially Misaligned Data Using Gaussian Fields and the Stochastic Partial Differential Equation Approach

April 21, 2022

Speakers:

Paula Moraga, King Abdullah University of Science and Technology

Spatially misaligned data are becoming increasingly common due to advances in both data collection and management in a wide range of scientific dis

Combining School-Catchment Area Models with Geostatistical Models for the Analysis of School Malaria Survey Data: Inferential Benefits and Limitations

April 14, 2022

Speakers:

Emanuele Giorgi, Lancaster University

School-based sampling has been used for decades in Sub Saharan Africa (SSA) to inform targeted responses for malaria and neglected tropical disease

Planning and Learning From Interventions

April 7, 2022

Speakers:

Caroline Uhler, MIT

Massive data collection holds the promise of a better understanding of complex phenomena and ultimately, of better decisions.

Estimands and Estimation of COVID-19 Vaccine Effectiveness Under the Test-Negative Design: Connections to Causal Inference

March 31, 2022

Speakers:

Mireille Schnitzer, Université de Montréal

The test-negative design (TND) is routinely used for the monitoring of seasonal flu vaccine effectiveness.

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.

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