1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ME2021★ 1 cited
A Kernel-Based Neural Network for High-dimensional Genetic Risk Prediction Analysis
Xiaoxi Shen, Xiaoran Tong, Qing Lu
Risk prediction capitalizing on emerging human genome findings holds great promise for new prediction and prevention strategies. While the large amounts of genetic data generated f…
math.ST2020
Asymptotic Theory of Expectile Neural Networks
Jinghang Lin, Xiaoxi Shen, Qing Lu
Neural networks are becoming an increasingly important tool in applications. However, neural networks are not widely used in statistical genetics. In this paper, we propose a new n…
math.ST2019
Asymptotic Properties of Neural Network Sieve Estimators
Xiaoxi Shen, Chang Jiang, Lyudmila Sakhanenko +1
Neural networks are one of the most popularly used methods in machine learning and artificial intelligence nowadays. Due to the universal approximation theorem (Hornik et al. (1989…