6 citations · 6 across the 3 of their papers we have counts for
5 papers
Causal Inference for Quantile Treatment Effects
Shuo Sun, Erica E. M. Moodie, Johanna G. Nešlehová
Analyses of environmental phenomena often are concerned with understanding unlikely events such as floods, heatwaves, droughts or high concentrations of pollutants. Yet the majorit…
On attainability of Kendall's tau matrices and concordance signatures
Alexander J. McNeil, Johanna G. Neslehova, Andrew D. Smith
Methods are developed for checking and completing systems of bivariate and multivariate Kendall's tau concordance measures in applications where only partial information about depe…
Hypothesis tests for structured rank correlation matrices
Samuel Perreault, Johanna Neslehova, Thierry Duchesne
Joint modeling of a large number of variables often requires dimension reduction strategies that lead to structural assumptions of the underlying correlation matrix, such as equal…
Detection of Block-Exchangeable Structure in Large-Scale Correlation Matrices
Samuel Perreault, Thierry Duchesne, Johanna G. Nešlehová
Correlation matrices are omnipresent in multivariate data analysis. When the number d of variables is large, the sample estimates of correlation matrices are typically noisy and co…
Extremal attractors of Liouville copulas
Léo R. Belzile, Johanna G. Nešlehová
Liouville copulas, which were introduced in McNeil and Neslehova (2010), are asymmetric generalizations of the ubiquitous Archimedean copula class. They are the dependence structur…