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Natural Catastrophes: Are Canadian Insurers Ready for “The Big One”? (2021-2024)
Sports Analytics (2021-2024)
Improving Robust High-Dimensional Causal Inference and Prediction Modelling (2021-2024)
Statistical Inference Takes on the Cosmos with CHIME: Big Data, Astrostatistics, and the Fast Radio Burst Enigma (2021-2024)
Statistical Machine Learning with Functional Data for Assessment of Landscape Vulnerability to Climate Change and Land Cover Development (2021-2024)
Addressing Spatial and Computational Issues in Integrated Analysis of Modern Ecological Data (2020-2023)
Modern Techniques for Survey Sampling and Complex Data (2020-2023)
Statistical Methods for the Analysis of Genetic Data with Survival Outcomes (2019-2022)
Contingent Capital and Calibration of Capital Structure Models (2019-2022)
Towards Sustainable Fisheries: State Space Assessment Models for Complex Fisheries and Biological Data (2018-2021)
Spatial Modeling of Infectious Diseases: Environment and Health (2018-2021)
Statistical Methods for Challenging Problems in Public Health Microbiology (2018-2021)
Statistical Analysis of Large Administrative Health Databases: Emerging Challenges and Strategies (2017-2020)
Joint Analysis of Neuroimaging Data: High-Dimensional Problems, Spatiotemporal Models and Computation (2016-2019)
Rare DNA Variants and Human Complex Traits: Improving Analyses of Family Studies by Better Modeling the Dependence Structures (2016-2019)
Evolving Marked Point Processes with Application to Wildland Fire Regime Modeling (2015-2018)
Statistical Inference for Complex Surveys with Missing Observations (2015-2018)
Modern Spectrum Methods in Time Series Analysis: Physical Science, Environmental Science and Computer Modeling (2015-2018)
Statistical Modeling of the World: Computer and Physical Models in Earth, Ocean, and Atmospheric Sciences (2014-2017)
Advancements to State-Space Models (SSMs) for Fisheries Science (2014-2017)
Copula Dependence Modeling: Theory and Applications (2014-2017)
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Natural Catastrophes: Are Canadian Insurers Ready for “The Big One”? (2021-2024)
Sports Analytics (2021-2024) 
Improving Robust High-Dimensional Causal Inference and Prediction Modelling (2021-2024)
Statistical Inference Takes on the Cosmos with CHIME: Big Data, Astrostatistics, and the Fast Radio Burst Enigma (2021-2024) 
Statistical Machine Learning with Functional Data for Assessment of Landscape Vulnerability to Climate Change and Land Cover Development (2021-2024)
Addressing Spatial and Computational Issues in Integrated Analysis of Modern Ecological Data (2020-2023)
Modern Techniques for Survey Sampling and Complex Data (2020-2023) 
Statistical Methods for the Analysis of Genetic Data with Survival Outcomes (2019-2022)
Contingent Capital and Calibration of Capital Structure Models (2019-2022)
Towards Sustainable Fisheries: State Space Assessment Models for Complex Fisheries and Biological Data (2018-2021)
Spatial Modeling of Infectious Diseases: Environment and Health (2018-2021)
Statistical Methods for Challenging Problems in Public Health Microbiology (2018-2021)
Statistical Analysis of Large Administrative Health Databases: Emerging Challenges and Strategies (2017-2020)
Joint Analysis of Neuroimaging Data: High-Dimensional Problems, Spatiotemporal Models and Computation (2016-2019)
Rare DNA Variants and Human Complex Traits: Improving Analyses of Family Studies by Better Modeling the Dependence Structures (2016-2019)
Evolving Marked Point Processes with Application to Wildland Fire Regime Modeling (2015-2018)
Statistical Inference for Complex Surveys with Missing Observations (2015-2018)
Modern Spectrum Methods in Time Series Analysis: Physical Science, Environmental Science and Computer Modeling (2015-2018)
Statistical Modeling of the World: Computer and Physical Models in Earth, Ocean, and Atmospheric Sciences (2014-2017)
Advancements to State-Space Models (SSMs) for Fisheries Science (2014-2017)
Copula Dependence Modeling: Theory and Applications (2014-2017)