Keywords: از دست دادن درجه دوم; Semi-supervised regression; Quadratic loss; Ga^teaux derivative; Learning rate; 41A25; 90C25; 68Q32;
مقالات ISI از دست دادن درجه دوم (ترجمه نشده)
مقالات زیر هنوز به فارسی ترجمه نشده اند.
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در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Keywords: از دست دادن درجه دوم; 62H12; 62F10; 62C99; Elliptically symmetric distributions; High-dimensional statistics; Moore-Penrose inverse; Inverse scatter matrix; Quadratic loss; Singular sample covariance matrix; Sample eigenvalues; Stein-Haff identity;
Keywords: از دست دادن درجه دوم; primary, 62C20, 62J07; secondary, 62C10Empirical Bayes method; Generalized Bayes estimator; Inadmissibility; Minimaxity; Moore–Penrose inverse; Pseudo-Wishart distribution; Quadratic loss; Shrinkage estimator; Statistical decision theory
Keywords: از دست دادن درجه دوم; Decision theory; Generalized Bayes estimator; Improved estimation; Minimaxity; Quadratic loss; Ratio; Stein estimator; Stein loss; Variance;
Keywords: از دست دادن درجه دوم; Bandwidth selection; Double smoothing; Kernel-based density estimator; Minimum distance estimation; Nonparametric mixture; Quadratic loss;
Bayesian simultaneous estimation for means in k-sample problems
Keywords: از دست دادن درجه دوم; 62C20; 62F15; Bayes estimator; Empirical Bayes; k-sample problem; Minimaxity; Quadratic loss; Shrinkage estimator;
Linear Bayes estimator for the two-parameter exponential family under type II censoring
Keywords: از دست دادن درجه دوم; Linear Bayes and empirical Bayes methods; Quadratic loss; Mean square error matrix (MSEM); Two-parameter exponential family;
Characterization of admissible linear estimators in the growth curve model with respect to inequality constraints
Keywords: از دست دادن درجه دوم; 62C05; 62F10Admissible linear estimator; Growth curve model; Inequality constraint; Matrix loss; Quadratic loss
Shrinkage priors for Bayesian estimation of the mean matrix in an elliptically contoured distribution
Keywords: از دست دادن درجه دوم; primary, 62C10, 62J07; secondary, 62F10, 62C20Decision theory; Hierarchical model; The Laplace transformation; Minimaxity; Multivariate linear model; Quadratic loss; Scale mixture; Shrinkage estimator
Proper Bayes minimax estimators of the normal mean matrix with common unknown variances
Keywords: از دست دادن درجه دوم; Admissibility; Decision theory; Equivariance; Generalized Bayes estimation; Hierarchical model; Minimaxity; Quadratic loss; Shrinkage estimatorprimary 62C10; secondary 62C15, 62C20
Generalized Bayes minimax estimation of the normal mean matrix with unknown covariance matrix
Keywords: از دست دادن درجه دوم; primary, 62C10, 62C20; secondary, 62F15, 62J07Decision theory; Equivariance; Generalized Bayes estimation; Hierarchical model; Minimaxity; Multivariate linear model; Posterior mean; Quadratic loss; Shrinkage estimator
Estimation of the precision matrix of multivariate Kotz type model
Keywords: از دست دادن درجه دوم; primary, 62H12; secondary, 62C15Multivariate Kotz type model; Estimation of the precision matrix; Quadratic loss; Decision theoretic estimation
Credibility premiums for the zero-inflated Poisson model and new hunger for bonus interpretation
Keywords: از دست دادن درجه دوم; Credibility; Count data; Quadratic loss; Exponential loss; Zero-inflated models; Number of accidents; Hunger for bonus;
A unified and generalized set of shrinkage bounds on minimax Stein estimates
Keywords: از دست دادن درجه دوم; primary, 62C10, 62C20Minimax estimators; Quadratic loss; Spherically symmetric distributions; Location parameters; Completely monotone functions; Unimodality
Admissibility and minimaxity of Bayes estimators for a normal mean matrix
Keywords: از دست دادن درجه دوم; primary, 62C10; secondary, 62C15, 62C20, 62J07Admissibility; Bayes estimation; Inadmissibility; Isotonic regression; Minimaxity; Order statistic; Quadratic loss; Simultaneous estimation; Singular value decomposition; Shrinkage estimator
Combining estimators to improve structural model estimation and inference under quadratic loss
Keywords: از دست دادن درجه دوم; C10; C24; Combined estimators; Quadratic loss; Semiparametric estimation; Data dependent shrinkage; Instrumental variables;
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: از دست دادن درجه دوم; 62H10; 62C20; Asymptotic distribution; Covariance matrix; Minimax estimator; Quadratic loss; Singular parameter; Stein's loss; Tail minimaxity;