Decision theory, statistical classification, maximum likelihood and Bayesian estimation, non-parametric methods, unsupervised learning and clustering.
It is seen that hierarchical Bayesian estimation is more efficient than maximum likelihood estimation through Monte Carlo simulation and an example.
Bayesian estimation of non-information variance and covariance components in the nonlinear model
The property of hierarchical Bayesian and E Bayesian estimation of binomial distribution's parameter
Bayesian estimation of geometric distribution parameterunder entropy loss function;
Cauchy sparse constrained Bayesian estimation based seismic blind deconvolution frame and algorithm
E-Bayesian estimation of the negative binomial distribution reliability under entropy loss function
Wishart random matrix based Bayesian estimation for time-varying channel in the color noise
