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 | 1122 | 2011 |
Variable selection and estimation with the seamless-L 0 penalty L Dicker, B Huang, X Lin Statistica Sinica, 929-962, 2013 | 141 | 2013 |
Variance estimation in high-dimensional linear models LH Dicker Biometrika 101 (2), 269-284, 2014 | 134 | 2014 |
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 | 127 | 2000 |
Ridge regression and asymptotic minimax estimation over spheres of growing dimension LH Dicker | 93 | 2016 |
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 | 83 | 2010 |
Kernel ridge vs. principal component regression: Minimax bounds and the qualification of regularization operators LH Dicker, DP Foster, D Hsu | 75 | 2017 |
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 | 67 | 2010 |
High-dimensional classification via nonparametric empirical Bayes and maximum likelihood inference LH Dicker, SD Zhao Biometrika 103 (1), 21-34, 2016 | 48 | 2016 |
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 | 36 | 2011 |
The Dantzig selector for censored linear regression models Y Li, L Dicker, SD Zhao Statistica Sinica 24 (1), 251, 2014 | 35 | 2014 |
Flexible results for quadratic forms with applications to variance components estimation LH Dicker, MA Erdogdu The Annals of Statistics 45 (1), 386-414, 2017 | 33 | 2017 |
Maximum likelihood for variance estimation in high-dimensional linear models LH Dicker, MA Erdogdu Artificial Intelligence and Statistics, 159-167, 2016 | 33 | 2016 |
Variable selection for high dimensional multivariate outcomes T Sofer, L Dicker, X Lin Statistica Sinica 24 (4), 1633, 2014 | 29 | 2014 |
Probabilistic hierarchical forecasting with deep poisson mixtures KG Olivares, ON Meetei, R Ma, R Reddy, M Cao, L Dicker International Journal of Forecasting 40 (2), 470-489, 2024 | 26 | 2024 |
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 | 24 | 2018 |
Scaled least squares estimator for glms in large-scale problems MA Erdogdu, LH Dicker, M Bayati Advances in Neural Information Processing Systems 29, 2016 | 23 | 2016 |
Outcomes of a culturally tailored partially randomized patient preference controlled trial to increase physical activity among low-income immigrant Latinas KT D’Alonzo, BA Smith, LH Dicker Journal of Transcultural Nursing 29 (4), 335-345, 2018 | 17 | 2018 |
The mahalanobis kernel for heritability estimation in genome-wide association studies: fixed-effects and random-effects methods R Ma, LH Dicker arXiv preprint arXiv:1901.02936, 2019 | 15 | 2019 |
Optimal equivariant prediction for high-dimensional linear models with arbitrary predictor covariance LH Dicker | 15 | 2013 |