Variance estimation in high-dimensional linear models von DICKER, LEE H.

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Ridge regression and asymptotic minimax estimation over spheres of growing dimension von DICKER, LEE H.

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Aberrant lipid metabolism disrupts calcium homeostasis causing liver endoplasmic reticulum stress in obesity von Fu, Suneng, Yang, Ling, Li, Ping, Hofmann, Oliver, Dicker, Lee, Hide, Winston, Lin, Xihong, Watkins, Steven M., Ivanov, Alexander R., Hotamisligil, Gökhan S.

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FLEXIBLE RESULTS FOR QUADRATIC FORMS WITH APPLICATIONS TO VARIANCE COMPONENTS ESTIMATION von Dicker, Lee H., Erdogdu, Murat A.

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High-dimensional classification via nonparametric empirical Bayes and maximum likelihood inference von DICKER, LEE H., ZHAO, SIHAI D.

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Measuring the Severity of Neonatal Seizures: Temporal-Spatial Burden von Smith, Douglas M, Dicker, Lee H, Davis, Malcolm J, Clancy, Robert R

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Outcomes of a Culturally Tailored Partially Randomized Patient Preference Controlled Trial to Increase Physical Activity Among Low-Income Immigrant Latinas von D’Alonzo, Karen T., Smith, Barbara A., Dicker, Lee H.

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Optimal equivariant prediction for high-dimensional linear models with arbitrary predictor covariance von Dicker, Lee H.

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Approximate nonparametric maximum likelihood for mixture models: A convex optimization approach to fitting arbitrary multivariate mixing distributions von Feng, Long, Dicker, Lee H.

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Kernel ridge vs. principal component regression: Minimax bounds and the qualification of regularization operators von Dicker, Lee H., Foster, Dean P., Hsu, Daniel

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CONTINUOUS BLOOD GLUCOSE MONITORING: A BAYES-HIDDEN MARKOV APPROACH von Dicker, Lee H., Sun, Tingni, Zhang, Cun-Hui, Keenan, D. Barry, Shepp, Larry

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Probabilistic hierarchical forecasting with deep Poisson mixtures von Olivares, Kin G., Meetei, O. Nganba, Ma, Ruijun, Reddy, Rohan, Cao, Mengfei, Dicker, Lee

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VARIABLE SELECTION FOR HIGH DIMENSIONAL MULTIVARIATE OUTCOMES von Sofer, Tamar, Dicker, Lee, Lin, Xihong

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Parallelism, uniqueness, and large-sample asymptotics for the Dantzig selector von Dicker, Lee, Lin, Xihong

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Increased Power for the Analysis of Label-free LC-MS/MS Proteomics Data by Combining Spectral Counts and Peptide Peak Attributes von Dicker, Lee, Lin, Xihong, Ivanov, Alexander R.

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THE DANTZIG SELECTOR FOR CENSORED LINEAR REGRESSION MODELS von Li, Yi, Dicker, Lee, Zhao, Sihai Dave

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VARIABLE SELECTION AND ESTIMATION WITH THE SEAMLESS-L0PENALTY von Dicker, Lee, Huang, Baosheng, Lin, Xihong

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Increased Power for the Analysis of Label-free LC-MS/MS Proteomics Data by Combining Spectral Counts and Peptide Peak Attributes von Dicker, Lee, Lin, Xihong, Ivanov, Alexander R

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Variable selection and estimation with the seamless-L0 penalty models von Dicker, Lee, Huang, Baosheng, Lin, Xihong

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Consensus Planning with Primal, Dual, and Proximal Agents von Maggiar, Alvaro, Dicker, Lee, Mahoney, Michael

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