A consistent, numerically efficient Bayesian framework for combining the selection, detection and estimation tasks in model-based signal processing

Anthony Quinn. A consistent, numerically efficient Bayesian framework for combining the selection, detection and estimation tasks in model-based signal processing. In IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '93, Minneapolis, Minnesota, USA, April 27-30, 1993. pages 65-68, IEEE Computer Society, 1993. [doi]

@inproceedings{Quinn93,
  title = {A consistent, numerically efficient Bayesian framework for combining the selection, detection and estimation tasks in model-based signal processing},
  author = {Anthony Quinn},
  year = {1993},
  doi = {10.1109/ICASSP.1993.319595},
  url = {http://doi.ieeecomputersociety.org/10.1109/ICASSP.1993.319595},
  researchr = {https://researchr.org/publication/Quinn93},
  cites = {0},
  citedby = {0},
  pages = {65-68},
  booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '93, Minneapolis, Minnesota, USA, April 27-30, 1993},
  publisher = {IEEE Computer Society},
  isbn = {0-7803-7402-9},
}