Approximation and convergence in the estimation of random parameters in linear holomorphic semigroups generated by regularly dissipative operators.
Melike SirlanciSusan E. LuczakI. Gary RosenPublished in: ACC (2017)
Keyphrases
- closed form solutions
- update equations
- maximum likelihood estimator
- maximum likelihood estimation
- log likelihood function
- parameter estimation
- closed form
- maximum likelihood
- linear model
- parameters estimation
- difference equations
- convergence theorem
- conjugate gradient algorithm
- parametric models
- initial guess
- density estimation
- estimation process
- central limit theorem
- angular velocity
- nonlinear models
- error bounds
- initial conditions
- importance sampling
- nonlinear regression
- em algorithm
- transfer function
- parameter space
- spatial filters
- estimation algorithm
- expectation maximization
- convergence speed
- least squares
- parameter values
- probability density function