Maximum a-posteriori estimation in linear models with a random Gaussian model matrix: A Bayesian-EM approach

Ido Nevat, Gareth W. Peters, Jinhong Yuan. Maximum a-posteriori estimation in linear models with a random Gaussian model matrix: A Bayesian-EM approach. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2008, March 30 - April 4, 2008, Caesars Palace, Las Vegas, Nevada, USA. pages 2889-2892, IEEE, 2008. [doi]

@inproceedings{NevatPY08-0,
  title = {Maximum a-posteriori estimation in linear models with a random Gaussian model matrix: A Bayesian-EM approach},
  author = {Ido Nevat and Gareth W. Peters and Jinhong Yuan},
  year = {2008},
  doi = {10.1109/ICASSP.2008.4518253},
  url = {http://dx.doi.org/10.1109/ICASSP.2008.4518253},
  tags = {systematic-approach},
  researchr = {https://researchr.org/publication/NevatPY08-0},
  cites = {0},
  citedby = {0},
  pages = {2889-2892},
  booktitle = {Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2008, March 30 - April 4, 2008, Caesars Palace, Las Vegas, Nevada, USA},
  publisher = {IEEE},
  isbn = {1-4244-1484-9},
}