4 citations · 4 across the 3 of their papers we have counts for
4 papers
An Association Test Based on Kernel-Based Neural Networks for Complex Genetic Association Analysis
Tingting Hou, Chang Jiang, Qing Lu
The advent of artificial intelligence, especially the progress of deep neural networks, is expected to revolutionize genetic research and offer unprecedented potential to decode th…
A Kernel-Based Neural Network Test for High-dimensional Sequencing Data Analysis
Tingting Hou, Chang Jiang, Qing Lu
The recent development of artificial intelligence (AI) technology, especially the advance of deep neural network (DNN) technology, has revolutionized many fields. While DNN plays a…
A Sieve Quasi-likelihood Ratio Test for Neural Networks with Applications to Genetic Association Studies
Xiaoxi Shen, Chang Jiang, Lyudmila Sakhanenko +1
Neural networks (NN) play a central role in modern Artificial intelligence (AI) technology and has been successfully used in areas such as natural language processing and image rec…
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…