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Discussion of “Prediction, Estimation, and Attribution” by Bradley Efron

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Persistent link: https://www.econbiz.de/10012409305

Reluctant Generalised Additive Modelling

Tay, J. Kenneth; Tibshirani, Robert - In: International Statistical Review 88 (2020) S1

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Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy

Holden, Paul - In: Statistical science : a review journal of the Institute … 1 (1986) 1, pp. 54-75

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Prediction by supervised principal components

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A framework for feature selection in clustering

Witten, Daniela M.; Tibshirani, Robert - In: Journal of the American Statistical Association : JASA 105 (2010) 490, pp. 713-726

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An introduction to the bootstrap

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A simple method for the adjustment of profile likelihoods

MacCullagh, Peter - In: Journal of the Royal Statistical Society 52 (1990) 2, pp. 325-344

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Sensitivity analysis for inference with partially identifiable covariance matrices

Max G’Sell; Shen-Orr, Shai; Tibshirani, Robert - In: Computational Statistics 29 (2014) 3, pp. 529-546

In some multivariate problems with missing data, pairs of variables exist that are never observed together. For example, some modern biological tools can produce data of this form. As a result of this structure, the covariance matrix is only partially identifiable, and point estimation requires...

Persistent link: https://www.econbiz.de/10010848017

Prediction by Supervised Principal Components

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Comment

Tibshirani, Robert - In: Journal of the American Statistical Association 100 (2005) September, pp. 807-808

Persistent link: https://www.econbiz.de/10005238878