activity
20162022
most citedPaired-move multiple-try stochastic search for Bayesian variable selection

3 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ME2022

Adaptive Cluster Thresholding with Spatial Activation Guarantees Using All-resolutions Inference

Xu Chen, Jelle J. Goeman, Thijmen J. P. Krebs +2

Classical cluster inference is hampered by the spatial specificity paradox. Given the null-hypothesis of no active voxels, the alternative hypothesis states that there is at least…

math.ST2021★ 3 cited

Large-scale simultaneous inference under dependence

Jinjin Tian, Xu Chen, Eugene Katsevich +2

Simultaneous inference allows for the exploration of data while deciding on criteria for proclaiming discoveries. It was recently proved that all admissible post-hoc inference meth…

stat.ME2019

Joint Quantile Regression for Spatial Data

Xu Chen, Surya T. Tokdar

Linear quantile regression is a powerful tool to investigate how predictors may affect a response heterogeneously across different quantile levels. Unfortunately, existing approach…

stat.ME2016★ 3 cited

Paired-move multiple-try stochastic search for Bayesian variable selection

Xu Chen, Shaan Qamar, Surya T. Tokdar

Variable selection is a key issue when analyzing high-dimensional data. The explosion of data with large sample sizes and dimensionality brings new challenges to this problem in bo…

stat.ME2016

A weighted edge-count two-sample test for multivariate and object data

Hao Chen, Xu Chen, Yi Su

Two-sample tests for multivariate data and non-Euclidean data are widely used in many fields. Parametric tests are mostly restrained to certain types of data that meets the assumpt…