A Gaussian process‐based approach toward credit risk modeling using stationary activations-Reference-Cited by-同舟云学术

A Gaussian process‐based approach toward credit risk modeling using stationary activations

Author:

Mahajan Shubham¹^ORCID,Nayyar Anand²³^ORCID,Raina Akshay⁴,Singh Samreen J.⁴,Vashishtha Ashutosh⁵,Pandit Amit Kant¹^ORCID

Affiliation:

1. School of Electronics & Communication Engineering Shri Mata Vaishno Devi University Katra Jammu & Kashmir India

2. Graduate School Duy Tan University Da Nang Vietnam

3. Faculty of Information Technology Duy Tan University Da Nang Vietnam

4. School of Electrical Engineering Shri Mata Vaishno Devi University Katra Jammu & Kashmir India

5. School of Business Shri Mata Vaishno Devi University Katra India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

Reference43 articles.

1. ChowJC.Analysis of financial credit risk using machine learning. arXiv preprint arXiv:1802.05326. 2018; February 14.

3. Machine learning: challenges, lessons, and opportunities in credit risk modeling;Bacham D;Moody's Anal Risk Perspect,2017

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献