Resultados da pesquisa - Witten, Daniela

Penalized unsupervised learning with outliers Por Witten, Daniela M.

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EXACT SPIKE TRAIN INFERENCE VIA ℓ(0) OPTIMIZATION Por Jewell, Sean, Witten, Daniela

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Data-adaptive additive modeling Por Petersen, Ashley, Witten, Daniela

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Flexible and Interpretable Models for Survival Data Por Wu, Jiacheng, Witten, Daniela

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TESTING SIGNIFICANCE OF FEATURES BY LASSOED PRINCIPAL COMPONENTS Por Witten, Daniela M., Tibshirani, Robert

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Covariance-regularized regression and classification for high-dimensional problems Por Witten, Daniela M., Tibshirani, Robert

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A framework for feature selection in clustering Por Witten, Daniela M., Tibshirani, Robert

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Penalized classification using Fisher’s linear discriminant Por Witten, Daniela M., Tibshirani, Robert

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Scientific research in the age of omics: the good, the bad, and the sloppy Por Witten, Daniela M, Tibshirani, Robert

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Survival analysis with high-dimensional covariates Por Witten, Daniela M, Tibshirani, Robert

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Statistical properties of convex clustering Por Tan, Kean Ming, Witten, Daniela

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Extensions of Sparse Canonical Correlation Analysis with Applications to Genomic Data Por Witten, Daniela M, Tibshirani, Robert J.

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On the assessment of statistical significance of three-dimensional colocalization of sets of genomic elements Por Witten, Daniela M., Noble, William Stafford

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Graph Estimation with Joint Additive Models Por Voorman, Arend, Shojaie, Ali, Witten, Daniela

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Sparse Biclustering of Transposable Data Por Tan, Kean Ming, Witten, Daniela M.

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Convex Regression with Interpretable Sharp Partitions Por Petersen, Ashley, Simon, Noah, Witten, Daniela

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Fused Lasso Additive Model Por Petersen, Ashley, Witten, Daniela, Simon, Noah

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Convex Modeling of Interactions with Strong Heredity Por Haris, Asad, Witten, Daniela, Simon, Noah

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Nearly assumptionless screening for the mutually-exciting multivariate Hawkes process Por Chen, Shizhe, Witten, Daniela, Shojaie, Ali

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Simultaneous detection and estimation of trait associations with genomic phenotypes Por Morrison, Jean, Simon, Noah, Witten, Daniela

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