Pages that link to "Item:Q2775618"

The following pages link to A shrinkage predictive distribution for multivariate normal observables (Q2775618):

Displaying 50 items.

• Asymptotic properties of Bayesian predictive densities when the distributions of data and target variables are different (Q273569) (← links)
• Pitman closeness properties of point estimators and predictive densities with parametric constraints (Q297158) (← links)
• Pitman closeness properties of Bayes shrinkage procedures in estimation and prediction (Q333991) (← links)
• Asymptotic expansion of the risk difference of the Bayesian spectral density in the autoregressive moving average model (Q354212) (← links)
• Minimaxity in predictive density estimation with parametric constraints (Q391561) (← links)
• On predictive density estimation for gamma models with parametric constraints (Q514186) (← links)
• Empirical Bayes predictive densities for high-dimensional normal models (Q634558) (← links)
• Simultaneous prediction for independent Poisson processes with different durations (Q746866) (← links)
• Improved prediction for a multivariate normal distribution with unknown mean and variance (Q841018) (← links)
• On predictive density estimation for location families under integrated squared error loss (Q893168) (← links)
• Admissible predictive density estimation (Q930650) (← links)
• Parametric bootstrap approximation to the distribution of EBLUP and related prediction intervals in linear mixed models (Q930652) (← links)
• Bayesian shrinkage prediction for the regression problem (Q953850) (← links)
• Estimation, prediction and the Stein phenomenon under divergence loss (Q953855) (← links)
• Bayesian predictive densities based on superharmonic priors for the 2-dimensional Wishart model (Q1036777) (← links)
• On predictive density estimation with additional information (Q1711575) (← links)
• Simultaneous prediction of independent Poisson observables (Q1879973) (← links)
• On improved predictive density estimation with parametric constraints (Q1952181) (← links)
• Bayesian predictive distribution for a negative binomial model (Q2002085) (← links)
• Proper Bayes and minimax predictive densities related to estimation of a normal mean matrix (Q2011522) (← links)
• Minimax predictive density for sparse count data (Q2040060) (← links)
• On discrete priors and sparse minimax optimal predictive densities (Q2044351) (← links)
• Bayesian predictive density estimation for a chi-squared model using information from a normal observation with unknown mean and variance (Q2059424) (← links)
• Enriched standard conjugate priors and the right invariant prior for Wishart distributions (Q2101463) (← links)
• On minimax optimality of sparse Bayes predictive density estimates (Q2119220) (← links)
• Bayesian shrinkage approaches to unbalanced problems of estimation and prediction on the basis of negative multinomial samples (Q2166018) (← links)
• Predictive density estimation under the Wasserstein loss (Q2189119) (← links)
• Density prediction and the Stein phenomenon (Q2206751) (← links)
• On efficient prediction and predictive density estimation for normal and spherically symmetric models (Q2274926) (← links)
• Hierarchical empirical Bayes estimation of two sample means under divergence loss (Q2316969) (← links)
• Bayes minimax competitors of preliminary test estimators in \(k\) sample problems (Q2329832) (← links)
• Exact minimax estimation of the predictive density in sparse Gaussian models (Q2352732) (← links)
• Asymptotically minimax Bayes predictive densities (Q2373585) (← links)
• Estimation in a linear regression model under the Kullback-Leibler loss and its application to model selection (Q2455735) (← links)
• Improved minimax predictive densities under Kullback-Leibler loss (Q2493546) (← links)
• Shrinkage priors for Bayesian prediction (Q2497182) (← links)
• A class of proper priors for Bayesian simultaneous prediction of independent Poisson observ\-a\-bles (Q2507748) (← links)
• From minimax shrinkage estimation to minimax shrinkage prediction (Q2634656) (← links)
• A superharmonic prior for the autoregressive process of the second-order (Q3552832) (← links)
• (Q5011435) (← links)
• Bayesian predictive distribution for a Poisson model with a parametric restriction (Q5077256) (← links)
• (Q5101777) (← links)
• (Q6073216) (← links)
• Matrix variate density estimation with additional information (Q6080782) (← links)
• Optimal shrinkage estimation of predictive densities under \(\alpha\)-divergences (Q6117926) (← links)
• Bayesian inference and prediction for mean-mixtures of normal distributions (Q6135073) (← links)
• Predictive density estimators with integrated \(L_1\) loss (Q6168117) (← links)
• Nearly minimax empirical Bayesian prediction of independent Poisson observables (Q6540920) (← links)
• Stein's identities and the related topics: an instructive explanation on shrinkage, characterization, normal approximation and goodness-of-fit (Q6578495) (← links)
• Predictive densities for multivariate normal models based on extended models and shrinkage Bayes methods (Q6595795) (← links)