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1. A Vine Copula Model for Climate Trend Analysis using Canadian Temperature Data.

2. Hierarchical Kendall copulas: Properties and inference.

3. Characterizing compound flooding potential and the corresponding driving mechanisms across coastal environments.

4. Potential use of weather derivatives in hedging aggregate viticulture yields: An analysis of the Niagara region of Canada.

5. Vine-Copula-Based Quantile Regression for Cascade Reservoirs Management.

6. Trivariate Probabilistic Assessments of the Compound Flooding Events Using the 3-D Fully Nested Archimedean (FNA) Copula in the Semiparametric Distribution Setting.

7. Trivariate Joint Distribution Modelling of Compound Events Using the Nonparametric D-Vine Copula Developed Based on a Bernstein and Beta Kernel Copula Density Framework.

8. Parametric Vine Copula Framework in the Trivariate Probability Analysis of Compound Flooding Events.

9. Characterizing the temperature and precipitation covariability over Canada.

10. A copula-based chance-constrained waste management planning method: An application to the city of Regina, Saskatchewan, Canada.

11. A copula-based multivariate analysis of Canadian RCM projected changes to flood characteristics for northeastern Canada.

12. Bivariate Flood Frequency Analysis Using the Copula Method.