| Bayesian repulsive Gaussian mixture model F Xie, Y Xu Journal of the American Statistical Association, 2019 | 46 | 2019 |
| Bayesian projected calibration of computer models F Xie, Y Xu Journal of the American Statistical Association 116 (536), 1965-1982, 2021 | 36 | 2021 |
| Efficient estimation for random dot product graphs via a one-step procedure F Xie, Y Xu Journal of the American Statistical Association 118 (541), 651-664, 2023 | 19 | 2023 |
| Bayesian sparse spiked covariance model with a continuous matrix shrinkage prior F Xie, J Cape, CE Priebe, Y Xu Bayesian Analysis 17 (4), 1193-1217, 2022 | 16* | 2022 |
| Optimal Bayesian estimation for random dot product graphs F Xie, Y Xu Biometrika 107 (4), 875-889, 2020 | 14 | 2020 |
| BayCount: A Bayesian decomposition method for inferring tumor heterogeneity using RNA-Seq counts F Xie, M Zhou, Y Xu The Annals of Applied Statistics 12 (3), 1605-1627, 2018 | 13 | 2018 |
| A Theoretical Framework of the Scaled Gaussian Stochastic Process in Prediction and Calibration M Gu, F Xie, L Wang SIAM/ASA Journal on Uncertainty Quantification 10 (4), 1435-1460, 2022 | 11* | 2022 |
| Entrywise limit theorems for eigenvectors of signal-plus-noise matrix models with weak signals F Xie Bernoulli 30 (1), 388-418, 2024 | 10* | 2024 |
| Adaptive Bayesian nonparametric regression using a kernel mixture of polynomials with application to partial linear models F Xie, Y Xu | 7 | 2020 |
| Euclidean Representation of Low-Rank Matrices and Its Geometric Properties F Xie SIAM Journal on Matrix Analysis and Applications 44 (2), 822-866, 2023 | 3* | 2023 |
| BAREB: A Bayesian repulsive biclustering model for periodontal data Y Li, D Bandyopadhyay, F Xie, Y Xu Statistics in medicine 39 (16), 2139-2151, 2020 | 3 | 2020 |
| Bayesian Sparse Gaussian Mixture Model in High Dimensions D Yao, F Xie, Y Xu arXiv preprint arXiv:2207.10301, 2022 | 2 | 2022 |
| Statistical inference of random graphs with a surrogate likelihood function D Wu, F Xie arXiv preprint arXiv:2207.01702, 2022 | 2 | 2022 |
| Rates of contraction with respect to -distance for Bayesian nonparametric regression F Xie, W Jin, Y Xu | 2* | 2019 |
| An eigenvector-assisted estimation framework for signal-plus-noise matrix models F Xie, D Wu Biometrika, asad058, 2023 | 1 | 2023 |
| Higher-Order Entrywise Eigenvectors Analysis of Low-Rank Random Matrices: Bias Correction, Edgeworth Expansion, and Bootstrap F Xie, Y Zhang arXiv preprint arXiv:2401.15033, 2024 | | 2024 |
| Simultaneous Learning the Dimension and Parameter of a Statistical Model with Big Data L Wang, F Xie, Y Xu Statistics in Biosciences 15 (3), 583-607, 2023 | | 2023 |
| STATISTICAL INFERENCE ON STRUCTURED HIGH-DIMENSIONAL MODELS USING LIKELIHOOD-BASED METHODS F Xie Johns Hopkins University, 2020 | | 2020 |
Yanxun XuJohns Hopkins UniversityVerified email at jhu.edu
