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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

Statistics at Its Best

May 5, 2022

This workshop will celebrate the outstanding contributions of

Bayesian, Fiducial &amp; Frequentist (BFF7) Conference poster

Bayesian, Fiducial and Frequentist (BFF7) Conference

May 2, 2022 to May 4, 2022

Statistics is a young discipline with several different and competing paths in its approaches and foundations.

Reproducibility and Open Science with the Jupyter Ecosystem: From Research to Teaching

April 18, 2022

Speakers:

Fernando Pérez

I will discuss how today’s open source ecosystem allows for research and educational practices that can make science more open, collaborative and r

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

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