Do canes or walkers make any difference? Nonuse and fall injuries C Luz, T Bush, X Shen The Gerontologist 57 (2), 211-218, 2017 | 84 | 2017 |
Asymptotic properties of neural network sieve estimators X Shen, C Jiang, L Sakhanenko, Q Lu arXiv preprint arXiv:1906.00875, 2019 | 24 | 2019 |
A brief review on deep learning applications in genomic studies X Shen, C Jiang, Y Wen, C Li, Q Lu Frontiers in Systems Biology 2, 877717, 2022 | 15 | 2022 |
Genetic risk prediction using a spatial autoregressive model with adaptive lasso Y Wen, X Shen, Q Lu Statistics in medicine 37 (26), 3764-3775, 2018 | 5 | 2018 |
A goodness-of-fit test based on neural network sieve estimators X Shen, C Jiang, L Sakhanenko, Q Lu Statistics & probability letters 174, 109100, 2021 | 4 | 2021 |
Direct care workforce training: Internet accessibility and acceptance DP Ochylski, CC Luz, X Shen Journal of gerontological nursing 43 (6), 46-52, 2017 | 4 | 2017 |
Asymptotic properties of neural network sieve estimators X Shen, C Jiang, L Sakhanenko, Q Lu Journal of nonparametric statistics 35 (4), 839-868, 2023 | 3 | 2023 |
A sieve quasi-likelihood ratio test for neural networks with applications to genetic association studies X Shen, C Jiang, L Sakhanenko, Q Lu arXiv preprint arXiv:2212.08255, 2022 | 2 | 2022 |
Consistency of neural networks with regularization X Shen, J Lin arXiv preprint arXiv:2207.01538, 2022 | 2 | 2022 |
A kernel-based neural network for high-dimensional genetic risk prediction analysis X Shen, X Tong, Q Lu arXiv preprint arXiv:2101.11807, 2021 | 2 | 2021 |
Joint analysis of genetic and epigenetic data using a conditional autoregressive model X Shen, Q Lu BMC genetics 19, 51-54, 2018 | 2 | 2018 |
A conditional autoregressive model for genetic association analysis accounting for genetic heterogeneity X Shen, Y Wen, Y Cui, Q Lu Statistics in medicine 41 (3), 517-542, 2022 | 1 | 2022 |
On the selection consistency of Bayesian structured variable selection K Yang, X Shen Stat 6 (1), 131-144, 2017 | 1 | 2017 |
High dimensional and ultrahigh dimensional data analysis with kernel neural networks Q Lu, S Xiaoxi, T Hou US Patent App. 18/267,184, 2024 | | 2024 |
Fast heritability estimation based on MINQUE and batch training M Tang, T Hou, X Tong, X Shen, X Zhang, T Wang, Q Lu Briefings in Bioinformatics 23 (3), bbac115, 2022 | | 2022 |
Asymptotic Theory of Expectile Neural Networks J Lin, X Shen, Q Lu arXiv preprint arXiv:2011.01218, 2020 | | 2020 |
Statistical Analysis for Network-based Models with Applications to Genetic Association and Prediction X Shen Michigan State University, 2019 | | 2019 |
Consistency and Rate of Convergence for Deep Relu Neural Networks X Shen, J Espinoza Available at SSRN 4705867, 0 | | |
Supplementary Materials for Asymptotic Properties of Neural Network Sieve Estimators X Shen, C Jiang, L Sakhanenko, Q Lu | | |