# Recurrent Neural Networks for Multivariate Time Series with Missing Values

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/recurrent-neural-networks-for-multivariate-time-series-with-missing-values/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zhengping Che,Sanjay Purushotham,Kyunghyun Cho,David Sontag,Yan Liu |
| Citations | 236 |
| DOI | 10.48550/arxiv.1606.01865 |
| Fields | Computer Science,Decision Sciences |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/1606.01865 |
| OpenAlex ID | https://openalex.org/W2411563882 |
| Type | preprint |
| Year | 2016 |

## Paper authors

- [Zhengping Che](https://scholariq.org/researchers/zhengping-che/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## Paper primary topic

- [Time Series Analysis and Forecasting](https://scholariq.org/topics/time-series-analysis-and-forecasting/)

## Paper topics

- [Time Series Analysis and Forecasting](https://scholariq.org/topics/time-series-analysis-and-forecasting/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Stock Market Forecasting Methods](https://scholariq.org/topics/stock-market-forecasting-methods/)

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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.