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Biometrika (2015), 102, 2, pp. 315–323 doi:…
www.statslab.cam.ac.uk/~rjs57/Biometrika-2015-Yu-315-23.pdf23 Oct 2016: s. Then. ‖ sin (V̂ , V )‖F 2 min(d1/2‖̂ ‖op, ‖̂ ‖F). ... is in themin(d 1/2‖̂ ‖op, ‖̂ ‖F) term in the numerator of the bounds. -
Journal of Machine Learning Research ? (????) ?-?? Submitted ...
www.statslab.cam.ac.uk/~rds37/papers/shah16.pdf9 Jun 2016: Journal of Machine Learning Research? (?)? -? Submitted 11/13; Revised 3/16; Published? /? Modelling Interactions in High-dimensional Data withBacktracking. Rajen D. Shah r.shah@statslab.cam.ac.ukStatistical Laboratory. University of Cambridge. -
THE WORK OF LUCIO RUSSO ON PERCOLATION GEOFFREY R. ...
www.statslab.cam.ac.uk/~grg/papers/russo3.pdf24 Apr 2016: 2, and integrate (5.6) to obtain. (5.7) Pp(A). { ǫp if p < p0, 1 ǫp if p > p0,. ... with. ǫp =1. 1 (1/η)c′|pp0|. Such inequalities have found numerous applications in percolation and relatedtopics, see for example [12, 19, 24]. -
book.dvi
www.statslab.cam.ac.uk/~frank/STOCHNET/LNSN_corr/book.pdf14 May 2016: Lecture Notes on Stochastic Networks. Frank Kelly and Elena Yudovina. Contents. Preface page ix. Overview 1. Queueing and loss networks 2. Decentralized optimization 4. Random access networks 5. Broadband networks 6. Internet modelling 8. Part I 11.
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