Concentration of the matrix-valued minimum mean-square error in optimal Bayesian inference.
Jean BarbierPublished in: CoRR (2019)
Keyphrases
- bayesian inference
- minimum mean square error
- signal to noise ratio
- matrix valued
- probabilistic model
- prior information
- recursive algorithm
- hyperparameters
- dt mri
- valued data
- denoising algorithm
- particle filter
- denoising
- optimal solution
- stack filters
- vector valued
- markov chain monte carlo
- dynamic programming
- prior knowledge
- cross validation
- objective function