Pages that link to "Item:Q1163799"
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The following pages link to Minimax estimation of the mean of a normal distribution when the parameter space is restricted (Q1163799):
Displaying 50 items.
- The Bayesian analysis of complex, high-dimensional models: can it be CODA? (Q252815) (← links)
- Decision-theoretic issues in heterogeneity variance estimation (Q287526) (← links)
- SLOPE is adaptive to unknown sparsity and asymptotically minimax (Q292875) (← links)
- Dynamic treatment regimes: technical challenges and applications (Q405345) (← links)
- Estimating a restricted normal mean (Q451293) (← links)
- Minimax estimation in linear regression with singular covariance structure and convex polyhedral constraints (Q689386) (← links)
- Nonlinear estimation over weak Besov spaces and minimax Bayes (Q850765) (← links)
- The asymptotic spread of estimators (Q916250) (← links)
- Minimax estimation of a bounded normal mean vector (Q918085) (← links)
- Second order minimax estimation of the mean (Q989251) (← links)
- Cutoff-type Boltzmann equations: Convergence of the solution (Q1103978) (← links)
- On the estimation of a restricted normal mean (Q1104654) (← links)
- Minimax estimation of a bounded squared mean (Q1185328) (← links)
- Influence of the prior distribution on the risk of the Bayes rule (Q1209208) (← links)
- A minimum discrimination information estimator of preliminary conjectured normal variance (Q1260709) (← links)
- Confidence interval estimation under some restrictions on the parameters with nonlinear boundaries (Q1324578) (← links)
- Minimax risk over \(l_ p\)-balls for \(l_ q\)-error (Q1333570) (← links)
- Superefficiency in nonparametric function estimation (Q1383096) (← links)
- Credibility theory: A new view from the theory of second order optimal statistics. (Q1413321) (← links)
- Estimators of slopes in linear errors-in-variables regression models when the predictors have known reliability matrix (Q1802433) (← links)
- Uniform priors on convex sets improve risk (Q1827544) (← links)
- Bayesian wavelet shrinkage with beta priors (Q2032229) (← links)
- On discrete priors and sparse minimax optimal predictive densities (Q2044351) (← links)
- Distributed adaptive Gaussian mean estimation with unknown variance: interactive protocol helps adaptation (Q2091825) (← links)
- Larry Brown's contributions to parametric inference, decision theory and foundations: a survey (Q2194579) (← links)
- Larry Brown's work on admissibility (Q2194581) (← links)
- Estimation of linear projections of non-sparse coefficients in high-dimensional regression (Q2286364) (← links)
- Learning Bayesian network parameters via minimax algorithm (Q2330029) (← links)
- Minimax revisited. I (Q2437897) (← links)
- Minimax regret comparison of hard and soft thresholding for estimating a bounded normal mean (Q2489793) (← links)
- Minimax expected measure confidence sets for restricted location parameters (Q2496938) (← links)
- Local asymptotic minimax estimation of nonregular parameters with translation-scale equivariant maps (Q2637607) (← links)
- Correlation in a Bayesian framework (Q2714920) (← links)
- Bayes minimax estimation of a bernoulli<i>p</i>in a restricted parameter space (Q3489086) (← links)
- Bayes and admissibility properties of estimators in truncated parameter spaces (Q3979448) (← links)
- Shrinkage and modification techniques in estimation of variance and the related problems: A review (Q4240717) (← links)
- On the efficiency of affine minimax rules in estimating a bounded multivariate normal mean (Q4276184) (← links)
- Estimation of a multivariate mean with constraints on the norm (Q4280405) (← links)
- On shrinkage to interval estimators of the binomial p (Q4337303) (← links)
- Estimation of the mean of a spherically symmetric distribution with constraints on the norm (Q4521147) (← links)
- A new approach to default priors and robust bayes methodology (Q4529334) (← links)
- Comment (Q4690947) (← links)
- Minimax recovery of blurred signal from discrete noisy data (Q4789776) (← links)
- The weighted likelihood (Q4801837) (← links)
- On double stage minimum discrimination information estimators of the interval constrained normal mean (Q4843642) (← links)
- Minimax estimation of a lower‐bounded scale parameter of a gamma distribution for scale‐invariant squared‐error loss (Q4859241) (← links)
- Improving on truncated linear estimates of exponential and gamma scale parameters (Q4883622) (← links)
- Admissibility of Solution Estimators for Stochastic Optimization (Q4999345) (← links)
- Preventing the Dirac disaster: Wavelet based density estimation (Q5123729) (← links)
- Second Order Bayes Prediction of Functionals of Exponential Dispersion Distributions and an Application to the Prediction of the Tails (Q5490566) (← links)
