Sparse Functional Boxplots for Multivariate Curves
This article introduces the sparse functional boxplot and the intensity sparse functional boxplot as practical exploratory tools. Besides being available for complete functional data, they can be u…
Scalable Computation of Predictive Probabilities in Probit Models with Gaussi…
Predictive models for binary data are fundamental in various fields, and the growing complexity of modern applications has motivated several flexible specifications for modeling the relationship be…
Bayesian Model Averaging Over Tree-based Dependence Structures for Multivaria…
Describing the complex dependence structure of extreme phenomena is particularly challenging. To tackle this issue, we develop a novel statistical method that describes extremal dependence taking a…
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