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Related papers: Rejoinder of: Treelets--An adaptive multi-scale ba…

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Discussion of "Treelets--An adaptive multi-Scale basis for sparse unordered data" [arXiv:0707.0481]

Applications · Statistics 2008-07-28 Fionn Murtagh

Discussion of "Treelets--An adaptive multi-scale basis for sparse unordered data" [arXiv:0707.0481]

Applications · Statistics 2008-07-28 Robert Tibshirani

Discussion of "Treelets--An adaptive multi-scale basis for sparse unordered data" [arXiv:0707.0481]

Applications · Statistics 2008-07-28 Peter J. Bickel , Ya'acov Ritov

This is a discussion of paper "Treelets--An adaptive multi-scale basis for sparse unordered data" [arXiv:0707.0481] by Ann B. Lee, Boaz Nadler and Larry Wasserman. In this paper the authors defined a new type of dimension reduction…

Applications · Statistics 2008-07-28 Xing Qiu

In many modern applications, including analysis of gene expression and text documents, the data are noisy, high-dimensional, and unordered--with no particular meaning to the given order of the variables. Yet, successful learning is often…

Methodology · Statistics 2008-07-25 Ann B. Lee , Boaz Nadler , Larry Wasserman

We would like to congratulate Lee, Nadler and Wasserman on their contribution to clustering and data reduction methods for high $p$ and low $n$ situations. A composite of clustering and traditional principal components analysis, treelets is…

Applications · Statistics 2008-07-28 Catherine Tuglus , Mark J. van der Laan

We congratulate Lee, Nadler and Wasserman (henceforth LNW) on a very interesting paper on new methodology and supporting theory [arXiv:0707.0481]. Treelets seem to tackle two important problems of modern data analysis at once. For datasets…

Applications · Statistics 2008-07-28 Nicolai Meinshausen , Peter Bühlmann

Rejoinder to ``Microarrays, Empirical Bayes and the Two-Groups Model'' [arXiv:0808.0572]

Methodology · Statistics 2008-08-06 Bradley Efron

Rejoinder of ``Statistical analysis of an archeological find'' [arXiv:0804.0079]

Applications · Statistics 2008-12-18 Andrey Feuerverger

Rejoinder: Bayesian Checking of the Second Levels of Hierarchical Models [arXiv:0802.0743]

Methodology · Statistics 2008-02-08 M. J. Bayarri , M. E. Castellanos

Rejoinder to ``Boosting Algorithms: Regularization, Prediction and Model Fitting'' [arXiv:0804.2752]

Methodology · Statistics 2008-12-18 Peter Bühlmann , Torsten Hothorn

Rejoinder: Struggles with Survey Weighting and Regression Modeling [arXiv:0710.5005]

Methodology · Statistics 2009-09-29 Andrew Gelman

Rejoinder: Fisher Lecture: Dimension Reduction in Regression [arXiv:0708.3774]

Methodology · Statistics 2009-09-29 R. Dennis Cook

Rejoinder: Conditional Growth Charts [math.ST/0702634]

Statistics Theory · Mathematics 2007-06-13 Ying Wei , Xuming He

Rejoinder to "Citation Statistics" [arXiv:0910.3529]

Methodology · Statistics 2009-10-20 Robert Adler , John Ewing , Peter Taylor

Rejoinder: Monitoring Networked Applications With Incremental Quantile Estimation [arXiv:0708.0302]

Methodology · Statistics 2007-08-03 John M. Chambers , David A. James , Diane Lambert , Scott Vander Wiel

Work in progress concerning alternative formalizations of arithmetic.

Logic · Mathematics 2018-01-04 David M. Cerna

Rejoinder to ``Support Vector Machines with Applications'' [math.ST/0612817]

Statistics Theory · Mathematics 2016-08-16 Javier M. Moguerza , Alberto Muñoz

Rejoinder to "Likelihood Inference for Models with Unobservables: Another View" by Youngjo Lee and John A. Nelder [arXiv:1010.0303]

Methodology · Statistics 2010-10-06 Youngjo Lee , John A. Nelder

Rejoinder to "Statistical Modeling of Spatial Extremes" by A. C. Davison, S. A. Padoan and M. Ribatet [arXiv:1208.3378].

Methodology · Statistics 2012-08-20 A. C. Davison , S. A. Padoan , M. Ribatet
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