S. Joe Qin. Latent Vector Autoregressive Modeling for Reduced Dimensional Dynamic Feature Extraction and Prediction. In 60th IEEE Conference on Decision and Control, CDC 2021, Austin, TX, USA, December 14-17, 2021. pages 3689-3694, IEEE, 2021. [doi]
@inproceedings{Qin21a-0, title = {Latent Vector Autoregressive Modeling for Reduced Dimensional Dynamic Feature Extraction and Prediction}, author = {S. Joe Qin}, year = {2021}, doi = {10.1109/CDC45484.2021.9683255}, url = {https://doi.org/10.1109/CDC45484.2021.9683255}, researchr = {https://researchr.org/publication/Qin21a-0}, cites = {0}, citedby = {0}, pages = {3689-3694}, booktitle = {60th IEEE Conference on Decision and Control, CDC 2021, Austin, TX, USA, December 14-17, 2021}, publisher = {IEEE}, isbn = {978-1-6654-3659-5}, }