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The Covariance Inflation Criterion for Adaptive Model Selection

Tibshirani, Robert; Knight, Keith - In: Journal of the Royal Statistical Society Series B 61 (1999) 3, pp. 529-546

Persistent link: https://www.econbiz.de/10005193971

A Framework for Feature Selection in Clustering

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

Persistent link: https://www.econbiz.de/10008783990

Correction

Witten, Daniela; Tibshirani, Robert - In: Journal of the American Statistical Association 105 (2010) 492, pp. 1637-1637

Persistent link: https://www.econbiz.de/10008784068

Supervised multidimensional scaling for visualization, classification, and bipartite ranking

Witten, Daniela M.; Tibshirani, Robert - In: Computational Statistics & Data Analysis 55 (2011) 1, pp. 789-801

Least squares multidimensional scaling (MDS) is a classical method for representing a nxn dissimilarity matrix . One seeks a set of configuration points such that is well approximated by the Euclidean distances between the configuration points: . Suppose that in addition to , a vector of...

Persistent link: https://www.econbiz.de/10008864183

Inference with transposable data: modelling the effects of row and column correlations

Allen, Genevera I.; Tibshirani, Robert - In: Journal of the Royal Statistical Society Series B 74 (2012) 4, pp. 721-743

Persistent link: https://www.econbiz.de/10010568305

An introduction to the bootstrap

Efron, Bradley; Tibshirani, Robert - 1993

Persistent link: https://www.econbiz.de/10004946776