Structured low-rank matrix completion for forecasting in time series analysis

Jonathan Gillard, Konstantin Usevich

Open source

DOI
10.1016/j.ijforecast.2018.03.008
Published
2018-10
Container
International Journal of Forecasting
Publisher
Elsevier BV
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.ijforecast.2018.03.008,
  title = {Structured low-rank matrix completion for forecasting in time series analysis},
  author = {Jonathan Gillard and Konstantin Usevich},
  year = {2018},
  journal = {International Journal of Forecasting},
  doi = {10.1016/j.ijforecast.2018.03.008},
  url = {https://doi.org/10.1016/j.ijforecast.2018.03.008}
}

RIS

TY  - JOUR
TI  - Structured low-rank matrix completion for forecasting in time series analysis
AU  - Jonathan Gillard
AU  - Konstantin Usevich
PY  - 2018
JO  - International Journal of Forecasting
DO  - 10.1016/j.ijforecast.2018.03.008
UR  - https://doi.org/10.1016/j.ijforecast.2018.03.008
ER  - 

APA

Gillard, J., & Usevich, K. (2018). Structured low-rank matrix completion for forecasting in time series analysis. International Journal of Forecasting. https://doi.org/10.1016/j.ijforecast.2018.03.008

Source records