Minimax Linear Estimation with the Probability Criterion under Unimodal Noise and Bounded Parameters.
A. S. ArkhipovKonstantin V. SemenikhinPublished in: Autom. Remote. Control. (2020)
Keyphrases
- parameter estimation
- closed form solutions
- angular velocity
- maximum likelihood estimation
- estimated parameters
- kullback leibler distance
- neyman pearson
- estimation process
- noise sensitivity
- optimization criterion
- parameters estimation
- minimum error
- linear model
- parameter values
- noisy data
- maximum likelihood
- bayes rule
- hypothesis test
- maximum likelihood estimator
- spatial filters
- update equations
- transfer function
- input data
- parametric models
- noise variance
- estimation algorithm
- neural network
- probability distribution
- markov random field
- error minimization
- maximum a posteriori probability
- markov chain
- signal to noise ratio
- regularization parameter
- selection criterion
- image statistics
- statistically independent
- probability measure