201 related articles for article (PubMed ID: 35222618)
1. Sign-based Shrinkage Based on an Asymmetric LASSO Penalty.
Kawaguchi ES; Darst BF; Wang K; Conti DV
J Data Sci; 2021; 19(3):429-449. PubMed ID: 35222618
[TBL] [Abstract][Full Text] [Related]
2. LASSO type penalized spline regression for binary data.
Mullah MAS; Hanley JA; Benedetti A
BMC Med Res Methodol; 2021 Apr; 21(1):83. PubMed ID: 33894761
[TBL] [Abstract][Full Text] [Related]
3. The reciprocal Bayesian LASSO.
Mallick H; Alhamzawi R; Paul E; Svetnik V
Stat Med; 2021 Sep; 40(22):4830-4849. PubMed ID: 34126655
[TBL] [Abstract][Full Text] [Related]
4. Shrinkage Estimation of Varying Covariate Effects Based On Quantile Regression.
Peng L; Xu J; Kutner N
Stat Comput; 2014 Sep; 24(5):853-869. PubMed ID: 25332515
[TBL] [Abstract][Full Text] [Related]
5. Quantile regression shrinkage and selection via the Lqsso.
Daneshvar A; Golalizadeh M
J Biopharm Stat; 2024 May; 34(3):297-322. PubMed ID: 37032487
[TBL] [Abstract][Full Text] [Related]
6. Using penalized regression to predict phenotype from SNP data.
Cherlin S; Howey RAJ; Cordell HJ
BMC Proc; 2018; 12(Suppl 9):38. PubMed ID: 30275888
[TBL] [Abstract][Full Text] [Related]
7. On the robustness of the adaptive lasso to model misspecification.
Lu W; Goldberg Y; Fine JP
Biometrika; 2012 Sep; 99(3):717-731. PubMed ID: 25294946
[TBL] [Abstract][Full Text] [Related]
8. Optimism Bias Correction in Omics Studies with Big Data: Assessment of Penalized Methods on Simulated Data.
Zhao Y; Dantony E; Roy P
OMICS; 2019 Apr; 23(4):207-213. PubMed ID: 30794050
[TBL] [Abstract][Full Text] [Related]
9. Network-based penalized regression with application to genomic data.
Kim S; Pan W; Shen X
Biometrics; 2013 Sep; 69(3):582-93. PubMed ID: 23822182
[TBL] [Abstract][Full Text] [Related]
10. High-dimensional Cox models: the choice of penalty as part of the model building process.
Benner A; Zucknick M; Hielscher T; Ittrich C; Mansmann U
Biom J; 2010 Feb; 52(1):50-69. PubMed ID: 20166132
[TBL] [Abstract][Full Text] [Related]
11. Dirichlet-Laplace priors for optimal shrinkage.
Bhattacharya A; Pati D; Pillai NS; Dunson DB
J Am Stat Assoc; 2015 Dec; 110(512):1479-1490. PubMed ID: 27019543
[TBL] [Abstract][Full Text] [Related]
12. Bayesian LASSO, scale space and decision making in association genetics.
Pasanen L; Holmström L; Sillanpää MJ
PLoS One; 2015; 10(4):e0120017. PubMed ID: 25856391
[TBL] [Abstract][Full Text] [Related]
13. Order selection and sparsity in latent variable models via the ordered factor LASSO.
Hui FKC; Tanaka E; Warton DI
Biometrics; 2018 Dec; 74(4):1311-1319. PubMed ID: 29750847
[TBL] [Abstract][Full Text] [Related]
14. ADAPTIVE ROBUST VARIABLE SELECTION.
Fan J; Fan Y; Barut E
Ann Stat; 2014 Feb; 42(1):324-351. PubMed ID: 25580039
[TBL] [Abstract][Full Text] [Related]
15. Approaches to Regularized Regression - A Comparison between Gradient Boosting and the Lasso.
Hepp T; Schmid M; Gefeller O; Waldmann E; Mayr A
Methods Inf Med; 2016 Oct; 55(5):422-430. PubMed ID: 27626931
[TBL] [Abstract][Full Text] [Related]
16. Interquantile Shrinkage and Variable Selection in Quantile Regression.
Jiang L; Bondell HD; Wang HJ
Comput Stat Data Anal; 2014 Jan; 69():208-219. PubMed ID: 24653545
[TBL] [Abstract][Full Text] [Related]
17. Feature-specific inference for penalized regression using local false discovery rates.
Miller R; Breheny P
Stat Med; 2023 Apr; 42(9):1412-1429. PubMed ID: 36737800
[TBL] [Abstract][Full Text] [Related]
18. Consistent model identification of varying coefficient quantile regression with BIC tuning parameter selection.
Zheng Q; Peng L
Commun Stat Theory Methods; 2017; 46(3):1031-1049. PubMed ID: 28008212
[TBL] [Abstract][Full Text] [Related]
19. Outlier detection and robust variable selection via the penalized weighted LAD-LASSO method.
Jiang Y; Wang Y; Zhang J; Xie B; Liao J; Liao W
J Appl Stat; 2021; 48(2):234-246. PubMed ID: 35707691
[TBL] [Abstract][Full Text] [Related]
20. Regression shrinkage and selection via least quantile shrinkage and selection operator.
Daneshvar A; Mousa G
PLoS One; 2023; 18(2):e0266267. PubMed ID: 36795659
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
