Handling missing data in multivariate time series using a vector autoregressive model based imputation (VAR-IM) algorithm: Part I: VAR-IM algorithm versus traditional methods.
Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Conference Paper
%1 conf/med/BashirW16
%A Bashir, Faraj A. A.
%A Wei, Hua-Liang
%B MED
%D 2016
%I IEEE
%K dblp
%P 611-616
%T Handling missing data in multivariate time series using a vector autoregressive model based imputation (VAR-IM) algorithm: Part I: VAR-IM algorithm versus traditional methods.
%U http://dblp.uni-trier.de/db/conf/med/med2016.html#BashirW16
%@ 978-1-4673-8345-5
@inproceedings{conf/med/BashirW16,
added-at = {2019-05-29T00:00:00.000+0200},
author = {Bashir, Faraj A. A. and Wei, Hua-Liang},
biburl = {https://www.bibsonomy.org/bibtex/27d22cfc3b0502024a4f67c3cc7ff1828/dblp},
booktitle = {MED},
crossref = {conf/med/2016},
ee = {https://doi.org/10.1109/MED.2016.7535976},
interhash = {9727e358f7a05db46d2dc0eb7576fc34},
intrahash = {7d22cfc3b0502024a4f67c3cc7ff1828},
isbn = {978-1-4673-8345-5},
keywords = {dblp},
pages = {611-616},
publisher = {IEEE},
timestamp = {2019-10-17T21:59:05.000+0200},
title = {Handling missing data in multivariate time series using a vector autoregressive model based imputation (VAR-IM) algorithm: Part I: VAR-IM algorithm versus traditional methods.},
url = {http://dblp.uni-trier.de/db/conf/med/med2016.html#BashirW16},
year = 2016
}
