140 related articles for article (PubMed ID: 38590837)
1. An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices.
Yang CH; Doss H; Vemuri BC
J Am Stat Assoc; 2024; 119(545):259-272. PubMed ID: 38590837
[TBL] [Abstract][Full Text] [Related]
2. SURE Estimates for a Heteroscedastic Hierarchical Model.
Xie X; Kou SC; Brown LD
J Am Stat Assoc; 2012 Dec; 107(500):1465-1479. PubMed ID: 25301976
[TBL] [Abstract][Full Text] [Related]
3. Shrinkage estimators for covariance matrices.
Daniels MJ; Kass RE
Biometrics; 2001 Dec; 57(4):1173-84. PubMed ID: 11764258
[TBL] [Abstract][Full Text] [Related]
4. Probabilistic learning vector quantization on manifold of symmetric positive definite matrices.
Tang F; Feng H; Tino P; Si B; Ji D
Neural Netw; 2021 Oct; 142():105-118. PubMed ID: 33984734
[TBL] [Abstract][Full Text] [Related]
5. Wavelet threshold based on Stein's unbiased risk estimators of restricted location parameter in multivariate normal.
Karamikabir H; Afshari M; Lak F
J Appl Stat; 2021; 48(10):1712-1729. PubMed ID: 35706713
[TBL] [Abstract][Full Text] [Related]
6. Equivariant minimax dominators of the MLE in the array normal model.
Gerard D; Hoff P
J Multivar Anal; 2015 May; 137():32-49. PubMed ID: 25745274
[TBL] [Abstract][Full Text] [Related]
7. Local Polynomial Regression for Symmetric Positive Definite Matrices.
Yuan Y; Zhu H; Lin W; Marron JS
J R Stat Soc Series B Stat Methodol; 2012 Sep; 74(4):697-719. PubMed ID: 23008683
[TBL] [Abstract][Full Text] [Related]
8. The Bayes Estimators of the Variance and Scale Parameters of the Normal Model With a Known Mean for the Conjugate and Noninformative Priors Under Stein's Loss.
Zhang YY; Rong TZ; Li MM
Front Big Data; 2021; 4():763925. PubMed ID: 35047768
[TBL] [Abstract][Full Text] [Related]
9. Empirical Bayes estimation of the selected treatment mean for two-stage drop-the-loser trials: a meta-analytic approach.
Bowden J; Brannath W; Glimm E
Stat Med; 2014 Feb; 33(3):388-400. PubMed ID: 23873666
[TBL] [Abstract][Full Text] [Related]
10. Shrinkage estimation of effect sizes as an alternative to hypothesis testing followed by estimation in high-dimensional biology: applications to differential gene expression.
Montazeri Z; Yanofsky CM; Bickel DR
Stat Appl Genet Mol Biol; 2010; 9():Article23. PubMed ID: 20597849
[TBL] [Abstract][Full Text] [Related]
11. Generalized Learning Vector Quantization With Log-Euclidean Metric Learning on Symmetric Positive-Definite Manifold.
Tang F; Tino P; Yu H
IEEE Trans Cybern; 2023 Aug; 53(8):5178-5190. PubMed ID: 35700257
[TBL] [Abstract][Full Text] [Related]
12. Intrinsic regression models for manifold-valued data.
Shi X; Styner M; Lieberman J; Ibrahim JG; Lin W; Zhu H
Med Image Comput Comput Assist Interv; 2009; 12(Pt 2):192-9. PubMed ID: 20426112
[TBL] [Abstract][Full Text] [Related]
13. Robust Covariance Estimators Based on Information Divergences and Riemannian Manifold.
Hua X; Cheng Y; Wang H; Qin Y
Entropy (Basel); 2018 Mar; 20(4):. PubMed ID: 33265310
[TBL] [Abstract][Full Text] [Related]
14. Intrinsic Regression Models for Manifold-Valued Data.
Shi X; Styner M; Lieberman J; Ibrahim JG; Lin W; Zhu H
J Am Stat Assoc; 2009 Jan; 5762():192-199. PubMed ID: 19960103
[TBL] [Abstract][Full Text] [Related]
15. Dimensionality Reduction of SPD Data Based on Riemannian Manifold Tangent Spaces and Isometry.
Gao W; Ma Z; Gan W; Liu S
Entropy (Basel); 2021 Aug; 23(9):. PubMed ID: 34573742
[TBL] [Abstract][Full Text] [Related]
16. Recursive Estimation of the Stein Center of SPD Matrices & its Applications.
Salehian H; Cheng G; Vemuri BC; Ho J
Proc IEEE Int Conf Comput Vis; 2013 Dec; ():1793-1800. PubMed ID: 25350135
[TBL] [Abstract][Full Text] [Related]
17. Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels.
Jayasumana S; Hartley R; Salzmann M; Li H; Harandi M
IEEE Trans Pattern Anal Mach Intell; 2015 Dec; 37(12):2464-77. PubMed ID: 26539851
[TBL] [Abstract][Full Text] [Related]
18. Bayes shrinkage estimator for consistency assessment of treatment effects in multi-regional clinical trials.
Adall SW; Xu J
Pharm Stat; 2021 Nov; 20(6):1074-1087. PubMed ID: 33942469
[TBL] [Abstract][Full Text] [Related]
19. Estimating Structural Equation Models Using James-Stein Type Shrinkage Estimators.
Burghgraeve E; De Neve J; Rosseel Y
Psychometrika; 2021 Mar; 86(1):96-130. PubMed ID: 33738686
[TBL] [Abstract][Full Text] [Related]
20. Minimax Estimation of Functionals of Discrete Distributions.
Jiao J; Venkat K; Han Y; Weissman T
IEEE Trans Inf Theory; 2015 May; 61(5):2835-2885. PubMed ID: 29375152
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]