Lee H. Dicker
Lee H. Dicker
Rutgers University, Department of Statistics and Biostatistics
Verifierad e-postadress på stat.rutgers.edu - Startsida
Citeras av
Citeras av
Aberrant lipid metabolism disrupts calcium homeostasis causing liver endoplasmic reticulum stress in obesity
S Fu, L Yang, P Li, O Hofmann, L Dicker, W Hide, X Lin, SM Watkins, ...
Nature 473 (7348), 528-531, 2011
Receptor density and recycling affect the rate of agonist-induced desensitization of μ-opioid receptor
PY Law, LJ Erickson, R El-Kouhen, L Dicker, J Solberg, W Wang, E Miller, ...
Molecular pharmacology 58 (2), 388-398, 2000
Variable selection and estimation with the seamless-L 0 penalty
L Dicker, B Huang, X Lin
Statistica Sinica, 929-962, 2013
Variance estimation in high-dimensional linear models
LH Dicker
Biometrika 101 (2), 269-284, 2014
Increased power for the analysis of label-free LC-MS/MS proteomics data by combining spectral counts and peptide peak attributes
L Dicker, X Lin, AR Ivanov
Molecular & Cellular Proteomics 9 (12), 2704-2718, 2010
An alternative prior process for nonparametric Bayesian clustering
H Wallach, S Jensen, L Dicker, K Heller
Proceedings of the Thirteenth International Conference on Artificial …, 2010
Ridge regression and asymptotic minimax estimation over spheres of growing dimension
LH Dicker
Bernoulli 22 (1), 1-37, 2016
Kernel ridge vs. principal component regression: Minimax bounds and the qualification of regularization operators
LH Dicker, DP Foster, D Hsu
Electronic Journal of Statistics 11 (1), 1022-1047, 2017
Flexible results for quadratic forms with applications to variance components estimation
LH Dicker, MA Erdogdu
Annals of Statistics 45 (1), 386-414, 2017
Agreement between long-term neonatal background classification by conventional and amplitude-integrated EEG
RR Clancy, L Dicker, S Cho, N Cook, SC Nicolson, G Wernovsky, ...
Journal of Clinical Neurophysiology 28 (1), 1-9, 2011
The Dantzig selector for censored linear regression models
Y Li, L Dicker, SD Zhao
Statistica Sinica 24 (1), 251, 2014
High-dimensional classification via nonparametric empirical Bayes and maximum likelihood inference
LH Dicker, SD Zhao
Biometrika 103 (1), 21-34, 2016
Maximum likelihood for variance estimation in high-dimensional linear models
LH Dicker, MA Erdogdu
Artificial Intelligence and Statistics, 159-167, 2016
Variable selection for high dimensional multivariate outcomes
T Sofer, L Dicker, X Lin
Statistica Sinica 24 (4), 1633, 2014
Scaled Least Squares Estimator for GLMs in Large-Scale Problems.
MA Erdogdu, LH Dicker, M Bayati
NIPS, 3324-3332, 2016
Kernel methods and regularization techniques for nonparametric regression: Minimax optimality and adaptation
L Dicker, D Foster, D Hsu
Technical report, Rutgers University, 2015
Optimal equivariant prediction for high-dimensional linear models with arbitrary predictor covariance
LH Dicker
Electronic Journal of Statistics 7, 1806-1834, 2013
Regularized regression methods for variable selection and estimation
LH Dicker
Harvard University, 2010
Approximate nonparametric maximum likelihood for mixture models: A convex optimization approach to fitting arbitrary multivariate mixing distributions
L Feng, LH Dicker
Computational Statistics & Data Analysis 122, 80-91, 2018
Nonparametric empirical Bayes and maximum likelihood estimation for high-dimensional data analysis
LH Dicker, SD Zhao
arXiv preprint arXiv:1407.2635, 2014
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Artiklar 1–20