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Preprints

This page lists the preprints associated with this programme only.
A full list is also available, with details of how to submit relevant papers.

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Authors Title Attachments
F Bunea; AB Tsybakov; MH Wegkamp Spades and mixture models ni09022.pdf
F Bunea Honest variable selction in linear and logistic regression models via $l$$_1$ and $l$$_1$ + $l$$_2$ penalisation ni09016.pdf
S Kritchman; B Nadler Determining the number of components in a factor model from limited noisy data ni09012.pdf
L Dümbgen; SA van de Geer; JA Wellner Nemirovski's inequalities revisited ni09004.pdf
RD Cook; L Forzani Covariance reducing models: an alternative to spectral modeling of covariance matrices ni09003.pdf
HA Chipman; EI George; RE McCulloch BART: Bayesian Additive Regression Trees ni09002.pdf
J-H Xue; DM Titterington Comment on "On discriminative vs. generative classifiers: a comparison of logistic regression and naive Bayes" ni09001.pdf
CP Robert; MA Beaumont; J-M Marin; J-M Cornuet Adaptivity for ABC algorithms: the ABC-PMC scheme ni08022.pdf
CP Robert; N Chopin; J Rousseau Harold Jeffreys' Theory of Probability revisited ni08021.pdf
J Baek; GJ McLachlan Mixtures of factor analyzers with common factor loadings for the clustering and visualisation of high-dimensional data ni08018.pdf
University of Cambridge Research Councils UK
    Clay Mathematics Institute The Leverhulme Trust London Mathematical Society Microsoft Research NM Rothschild and Sons