Data-driven learning of the number of states in multi-state autoregressive models

Jie Ding, Mohammad Noshad, Vahid Tarokh. Data-driven learning of the number of states in multi-state autoregressive models. In 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015, Allerton Park & Retreat Center, Monticello, IL, USA, September 29 - October 2, 2015. pages 418-425, IEEE, 2015. [doi]

@inproceedings{DingNT15-0,
  title = {Data-driven learning of the number of states in multi-state autoregressive models},
  author = {Jie Ding and Mohammad Noshad and Vahid Tarokh},
  year = {2015},
  doi = {10.1109/ALLERTON.2015.7447034},
  url = {http://dx.doi.org/10.1109/ALLERTON.2015.7447034},
  researchr = {https://researchr.org/publication/DingNT15-0},
  cites = {0},
  citedby = {0},
  pages = {418-425},
  booktitle = {53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015, Allerton Park & Retreat Center, Monticello, IL, USA, September 29 - October 2, 2015},
  publisher = {IEEE},
  isbn = {978-1-5090-1824-6},
}