# Diagnosis with incomplete multi-view data: A variational deep financial distress prediction method

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/diagnosis-with-incomplete-multi-view-data-a-variational-deep-financial-distress/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yating Huang,Zhao Wang,Cuiqing Jiang |
| Citations | 19 |
| DOI | 10.1016/j.techfore.2024.123269 |
| Fields | Business, Management and Accounting,Computer Science,Decision Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4391906337 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Zhao Wang](https://scholariq.org/researchers/zhao-wang/)

## Paper journal

- [Technological Forecasting and Social Change](https://scholariq.org/journals/technological-forecasting-and-social-change/)

## Paper primary topic

- [Financial Distress and Bankruptcy Prediction](https://scholariq.org/topics/financial-distress-and-bankruptcy-prediction/)

## Paper topics

- [Financial Distress and Bankruptcy Prediction](https://scholariq.org/topics/financial-distress-and-bankruptcy-prediction/)
- [Stock Market Forecasting Methods](https://scholariq.org/topics/stock-market-forecasting-methods/)
- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.