Fingerprint
Dive into the research topics of 'A method for approximating the density of maximum-likelihood and maximum a posteriori estimates under a Gaussian noise model'. Together they form a unique fingerprint.- Sort by
- Weight
- Alphabetically
A method for approximating the density of maximum-likelihood and maximum a posteriori estimates under a Gaussian noise model
Craig K. Abbey, Eric Clarkson, Harrison H. Barrett, Stefan P. Müller, Frank J. Rybicki
Research output: Contribution to journal › Article › peer-review
17
Scopus
citations