Default risk prediction and feature extraction using a penalized deep neural network
type: Item
instance of: scholarly article
title: Default risk prediction and feature extraction using a penalized deep neural network
zbMATH Open document ID: 1496.62015
author: Nan Qiao
author: Wenli Zhang
author: Yang Li
author: Shuangge Ma
author: Cunjie Lin
published in: Statistics and Computing
publication date: 2022-10-07T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62N05
Mathematics Subject Classification ID: 62P20
Mathematics Subject Classification ID: 68T07
zbMATH DE Number: 7597950
zbMATH Keywords: feature extraction
zbMATH Keywords: loan data
zbMATH Keywords: neural network
zbMATH Keywords: risk prediction
zbMATH Keywords: survival analysis
MaRDI profile type: Publication
full work available at URL: s11222-022-10140-z
OpenAlex ID: W4296121634
cites work: Neural network survival analysis for personal loan data
cites work: A logistic regression model for consumer default risk
cites work: A Class of Discrete Transformation Survival Models With Application to Default Probability Prediction
cites work: Q2934059
cites work: Variable selection in the accelerated failure time model via the bridge method
cites work: Machine learning: Trends, perspectives, and prospects
cites work: A Relabeling Approach to Handling the Class Imbalance Problem for Logistic Regression
cites work: The Robust Inference for the Cox Proportional Hazards Model
cites work: On the Weibull-Gamma frailty model, its infinite moments, and its connection to generalized log-logistic, logistic, Cauchy, and extreme-value distributions
cites work: Definitions, methods, and applications in interpretable machine learning
cites work: A forward and backward stagewise algorithm for nonconvex loss functions with adaptive Lasso
cites work: Survival Analysis Methods for Personal Loan Data
cites work: Disentangling and assessing uncertainties in multiperiod corporate default risk predictions
DOI: 10.1007/S11222-022-10140-Z
description: scientific article; zbMATH DE number 7597950