Handling missing data in multivariate time series using a vector autoregressive model-imputation (VAR-IM) algorithm-Reference-Cited by-同舟云学术

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Handling missing data in multivariate time series using a vector autoregressive model-imputation (VAR-IM) algorithm

Published:2018-02 Issue: Volume:276 Page:23-30
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Bashir Faraj,Wei Hua-Liang^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference32 articles.

1. Missing Data: Analysis and Design;Graham,2012

2. Analysis of Incomplete Multivariate Data;Schafer,1997

3. Missing data, imputation, and the bootstrap;Efron;J. Am. Stat. Assoc.,1994

4. The calculation of posterior distributions by data augmentation;Tanner;J. Am. stat. Assoc.,1987

5. Multiple Imputation for Nonresponse in Surveys;Rubin,1987

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