28 citations · 66 across the 12 of their papers we have counts for
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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…
stat.ML2021★ 3 cited
Scalable Spatiotemporally Varying Coefficient Modelling with Bayesian Kernelized Tensor Regression
Mengying Lei, Aurelie Labbe, Lijun Sun
As a regression technique in spatial statistics, the spatiotemporally varying coefficient model (STVC) is an important tool for discovering nonstationary and interpretable response…
stat.ML2021★ 1 cited
RFpredInterval: An R Package for Prediction Intervals with Random Forests and Boosted Forests
Cansu Alakus, Denis Larocque, Aurelie Labbe
Like many predictive models, random forests provide point predictions for new observations. Besides the point prediction, it is important to quantify the uncertainty in the predict…