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Jinghang lin
Jinghang lin
Postdoctoral associate, Yale University
Verified email at yale.edu
Title
Cited by
Cited by
Year
Marcinkiewicz’s strong law of large numbers for nonlinear expectations
L Zhang, J Lin
Statistics & Probability Letters 137, 269-276, 2018
232018
Expectile neural networks for genetic data analysis of complex diseases
J Lin, X Tong, C Li, Q Lu
IEEE/ACM transactions on computational biology and bioinformatics 20 (1 …, 2022
82022
Consistency of Neural Networks with Regularization
X Shen, J Lin
arXiv preprint arXiv:2207.01538, 2022
12022
Composite Expectile Regression with Gene-environment Interaction
J Lin, Y Huang, S Ma
arXiv preprint arXiv:2208.01461, 2022
2022
A Neural Network Based Method with Transfer Learning for Genetic Data Analysis
J Lin, S Zhang, Q Lu
arXiv preprint arXiv:2206.09872, 2022
2022
A Neural Networks Based Method with Genetic Data Analysis of Complex Diseases
J Lin
Michigan State University, 2021
2021
Asymptotic Theory of Expectile Neural Networks
J Lin, X Shen, Q Lu
arXiv preprint arXiv:2011.01218, 2020
2020
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Articles 1–7