Keywords: Bayes theory; Binary classification; Parametric linear discriminant; Accuracy criterion; Minimax probability machine; 62C10; 62C20; 62H30; 68T05;
مقالات ISI (ترجمه نشده)
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Keywords: 90C30; 90B50; 65K05; 62C20; Nonlinear bilevel optimization problem; Active-set strategy; Penalty method; Trust-region; Global convergence;
Keywords: 90C30; 90B50; 65K05; 62C20; Optimal load flow; A weighted Tchebychev; An interior point Newton's method; Coleman-Li strategy; Trust region; Projected Hessian;
On predictive density estimation for Gamma models with parametric constraints
Keywords: 62C20; 62C86; 62F10; 62F15; 62F30; Bayes estimator; Dominance; Frequentist risk; Gamma; Kullback-Leibler loss; Minimax; Minimum risk equivariant; Plug-in; Predictive density; Restricted parameter space; Variance expansion;
Keywords: 62C20; 62C86; 62F10; 62F15; 62F30Concave loss; Convolutions; Dominance; Frequentist risk; Inadmissibility; Integrated squared error; Minimax; Minimum risk equivariant; Loss function; Multivariate normal; Predictive density; Restricted parameter space; Sca
Keywords: 62C20; 62G05Optimal allocation; Pinsker bound; Precision budget constraint
Keywords: 62J10; 47B32; 62C20; 62G20; Covariance operator; Minimax lower bound; Rate of convergence; Reproducing kernel Hilbert space; Shrinkage estimator;
Bayesian simultaneous estimation for means in k-sample problems
Keywords: 62C20; 62F15; Bayes estimator; Empirical Bayes; k-sample problem; Minimaxity; Quadratic loss; Shrinkage estimator;
Proper Bayes and minimax predictive densities related to estimation of a normal mean matrix
Keywords: primary; 62C15; 62C20; secondary; 62C10; Admissibility; Gauss' divergence theorem; Generalized Bayes estimator; Inadmissibility; Kullback-Leibler loss; Minimaxity; Shrinkage estimator; Statistical decision theory;
Equivariant minimax dominators of the MLE in the array normal model
Keywords: 62H12; 62C20; 62F10; 62F15Bayesian estimation; Covariance estimation; Gibbs sampling; Stein’s loss; Tensor data
Bayes and robust Bayes prediction with an application to a rainfall prediction problem
Keywords: 62C15; 62C20; 62F15; 62F35Bayes prediction; Gamma distribution; Hierarchical Bayes prediction; Precautionary prediction loss function; Rainfall prediction; Robust Bayes prediction
A nonparametric empirical Bayes approach to adaptive minimax estimation
Keywords: 62G08; 62C20; 62C12Adaptive minimaxity; Nonparametric regression; Empirical Bayes; Threshold estimator; Besov ball; Oracle inequality
Minimaxity in predictive density estimation with parametric constraints
Keywords: 62C20; 62C86; 62F10; 62F15; 62F30; Bayes estimators; Decision theory; Dominance; Kullback-Leibler loss; Invariance; Location family; Location-scale family; Minimaxity; Order restriction; Predictive density; Restricted parameter space; Scale family;
Bayes minimax estimation of the multivariate normal mean vector for the case of common unknown variance
Keywords: 62C20; 62C15; 62C10Bayes estimation; Minimax estimation; Multivariate normal mean; Unknown variance
Shrinkage minimax estimation and positive-part rule for a mean matrix in an elliptically contoured distribution
Keywords: primary; 62C20; 62J07; secondary; 62J05;
Optimally robust credible sets with a class of priors
Keywords: Bayesian robustness; ε-contaminated class; Density-ratio class; Density bounded class; Maximum likelihood; Minimum likelihood; 62F15; 62C20;
Robust empirical Bayes tests for continuous distributions
Keywords: 62C12; 62F03; 62C20; Empirical Bayes; Monotone tests; Asymptotically optimal; Rates of convergence; Regret;
Reliability estimation of the selected exponential populations
Keywords: 62F10; 62C20
On estimation with weighted balanced-type loss function
Keywords: 62C10; 62C15; 62C20; 62F10; 62F30Balanced loss function; Admissibility; Bayes estimator; Minimax estimation; Constrained parameter space
Minimax multivariate empirical Bayes estimators under multicollinearity
Keywords: primary 62J07; 62C12; 62C20; secondary 62J05; 62C10; Empirical Bayes estimator; Ridge regression estimator; Multicollinearity; Multivariate linear regression model; Multivariate normal distribution;
Distribution of eigenvalues and eigenvectors of Wishart matrix when the population eigenvalues are infinitely dispersed and its application to minimax estimation of covariance matrix
Keywords: 62H10; 62C20; Asymptotic distribution; Covariance matrix; Minimax estimator; Quadratic loss; Singular parameter; Stein's loss; Tail minimaxity;