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stat.ME2022
Covariance regression with random forests
Cansu Alakus, Denis Larocque, Aurelie Labbe
Capturing the conditional covariances or correlations among the elements of a multivariate response vector based on covariates is important to various fields including neuroscience…
stat.ML2022
Bayesian Complementary Kernelized Learning for Multidimensional Spatiotemporal Data
Mengying Lei, Aurelie Labbe, Lijun Sun
Probabilistic modeling of multidimensional spatiotemporal data is critical to many real-world applications. As real-world spatiotemporal data often exhibits complex dependencies th…