受强制性开放获取政策约束的文章 - Leonard Stefanski了解详情
可在其他位置公开访问的文章：19 篇
P-Value Precision and Reproducibility
DD Boos, LA Stefanski
The American Statistician 65 (4), 213-221, 2011
强制性开放获取政策： US National Institutes of Health
Interactive model building for Q-learning
EB Laber, KA Linn, LA Stefanski
Biometrika 101 (4), 831-847, 2014
强制性开放获取政策： US National Institutes of Health
Interactive Q-Learning for Quantiles
KA Linn, EB Laber, LA Stefanski
Journal of the American Statistical Association 112 (518), 638-649, 2017
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Corrected-loss estimation for quantile regression with covariate measurement errors
HJ Wang, LA Stefanski, Z Zhu
Biometrika 99 (2), 405-421, 2012
强制性开放获取政策： US National Institutes of Health
Efficient robust regression via two-stage generalized empirical likelihood
HD Bondell, LA Stefanski
Journal of the American Statistical Association 108 (502), 644-655, 2013
强制性开放获取政策： US National Institutes of Health
Fast FSR variable selection with applications to clinical trials
DD Boos, LA Stefanski, Y Wu
Biometrics 65 (3), 692-700, 2009
强制性开放获取政策： US National Institutes of Health
Variable selection in nonparametric classification via measurement error model selection likelihoods
LA Stefanski, Y Wu, K White
Journal of the American Statistical Association 109 (506), 574-589, 2014
强制性开放获取政策： US National Institutes of Health
Latent-model robustness in joint models for a primary endpoint and a longitudinal process
X Huang, LA Stefanski, M Davidian
Biometrics 65 (3), 719-727, 2009
强制性开放获取政策： US National Institutes of Health
A moment-adjusted imputation method for measurement error models
L Thomas, L Stefanski, M Davidian
Biometrics 67 (4), 1461-1470, 2011
强制性开放获取政策： US National Institutes of Health
Density estimation with replicate heteroscedastic measurements
J McIntyre, LA Stefanski
Annals of the Institute of Statistical Mathematics 63, 81-99, 2011
强制性开放获取政策： US National Institutes of Health
Automatic structure recovery for additive models
Y Wu, LA Stefanski
Biometrika 102 (2), 381-395, 2015
强制性开放获取政策： US National Institutes of Health
iqLearn: Interactive Q-learning in R
KA Linn, EB Laber, LA Stefanski
Journal of statistical software 64 (1), 2015
强制性开放获取政策： US National Institutes of Health
Variable selection in kernel regression using measurement error selection likelihoods
KR White, LA Stefanski, Y Wu
Journal of the American Statistical Association 112 (520), 1587-1597, 2017
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Nonparametric independence screening via favored smoothing bandwidth
Y Feng, Y Wu, LA Stefanski
Journal of Statistical Planning and Inference 197, 1-14, 2018
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Moment adjusted imputation for multivariate measurement error data with applications to logistic regression
L Thomas, LA Stefanski, M Davidian
Computational statistics & data analysis 67, 15-24, 2013
强制性开放获取政策： US National Institutes of Health
FSR methods for second-order regression models
HB Crews, DD Boos, LA Stefanski
Computational statistics & data analysis 55 (6), 2026-2037, 2011
强制性开放获取政策： US National Institutes of Health
Regression‐assisted deconvolution
J McIntyre, LA Stefanski
Statistics in medicine 30 (14), 1722-1734, 2011
强制性开放获取政策： US National Institutes of Health
Assessing tuning parameter selection variability in penalized regression
W Hu, EB Laber, C Barker, LA Stefanski
Technometrics 61 (2), 154-164, 2019
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Bias Reduction in Logistic Regression with Estimated Variance Predictors
L Thomas, LA Stefanski, M Davidian
ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to …, 2013
强制性开放获取政策： US National Institutes of Health
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