84 citations · 175 across the 21 of their papers we have counts for
23 papers
Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling
Zhenyu Wei, Raymond K. W. Wong, Thomas C. M. Lee
In the signal processing and statistics literature, the minimum description length (MDL) principle is a popular tool for choosing model complexity. Successful examples include sign…
Estimating Fiber Orientation Distribution through Blockwise Adaptive Thresholding with Application to HCP Young Adults Data
Seungyong Hwang, Thomas C. M. Lee, Debashis Paul +1
Due to recent technological advances, large brain imaging data sets can now be collected. Such data are highly complex so extraction of meaningful information from them remains cha…
Uncertainty Quantification in Ensembles of Honest Regression Trees using Generalized Fiducial Inference
Suofei Wu, Jan Hannig, Thomas C. M. Lee
Due to their accuracies, methods based on ensembles of regression trees are a popular approach for making predictions. Some common examples include Bayesian additive regression tre…
Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting
Miles E. Lopes, Suofei Wu, Thomas C. M. Lee
When randomized ensemble methods such as bagging and random forests are implemented, a basic question arises: Is the ensemble large enough? In particular, the practitioner desires…
Simultaneous Detection of Multiple Change Points and Community Structures in Time Series of Networks
Rex C. Y. Cheung, Alexander Aue, Seungyong Hwang +1
In many complex systems, networks and graphs arise in a natural manner. Often, time evolving behavior can be easily found and modeled using time-series methodology. Amongst others,…
Network estimation via graphon with node features
Yi Su, Raymond K. W. Wong, Thomas C. M. Lee
Estimating the probabilities of linkages in a network has gained increasing interest in recent years. One popular model for network analysis is the exchangeable graph model (ExGM)…