Concentration of the Matrix-Valued Minimum Mean-Square Error in Optimal Bayesian Inference

Jean Barbier. Concentration of the Matrix-Valued Minimum Mean-Square Error in Optimal Bayesian Inference. In 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019, Le Gosier, Guadeloupe, December 15-18, 2019. pages 644-648, IEEE, 2019. [doi]

@inproceedings{Barbier19,
  title = {Concentration of the Matrix-Valued Minimum Mean-Square Error in Optimal Bayesian Inference},
  author = {Jean Barbier},
  year = {2019},
  doi = {10.1109/CAMSAP45676.2019.9022463},
  url = {https://doi.org/10.1109/CAMSAP45676.2019.9022463},
  researchr = {https://researchr.org/publication/Barbier19},
  cites = {0},
  citedby = {0},
  pages = {644-648},
  booktitle = {8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019, Le Gosier, Guadeloupe, December 15-18, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-5549-4},
}