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

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

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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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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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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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Optimal equivariant prediction for high-dimensional linear models with arbitrary predictor covariance von 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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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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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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The Mahalanobis kernel for heritability estimation in genome-wide association studies: fixed-effects and random-effects methods von Ma, Ruijun, 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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Approximate nonparametric maximum likelihood inference for mixture models via convex optimization von Feng, Long, Dicker, Lee H

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The Mahalanobis kernel for heritability estimation in genome-wide association studies: fixed-effects and random-effects methods von Ma, Ruijun, Dicker, Lee H

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Residual variance and the signal-to-noise ratio in high-dimensional linear models von Dicker, Lee H

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Approximate nonparametric maximum likelihood inference for mixture models via convex optimization von Long, Feng, Dicker, Lee H

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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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Scalable Approximations for Generalized Linear Problems von Erdogdu, Murat A, Bayati, Mohsen, Dicker, Lee H

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

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Nonparametric empirical Bayes and maximum likelihood estimation for high-dimensional data analysis von Dicker, Lee H, Zhao, Sihai D

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