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PLAQUETTES, SPHERES, AND ENTANGLEMENT GEOFFREY R. GRIMMETT AND…
https://www.statslab.cam.ac.uk/~grg/papers/USsphere11.pdf17 Aug 2010: F. Sidorenko, Percolation theoryand some applications, Itogi Nauki i Techniki (Series of Probability Theory,Mathematical Statistics, Theoretical Cybernetics) 24 (1986), 53–110. -
18 Heavy traffic on a controlled motorway F. P. ...
https://www.statslab.cam.ac.uk/~frank/PAPERS/KingFest/kwroad.pdf24 Feb 2010: incentives are provided to the larger system [24, 38]. Might some of these ideas transfer to help our understanding of the. ... of rate control algorithms in the Internet [24, 38]. Let I+(n) = {i I : ni > 0}. -
IMS CollectionsHigh Dimensional Probability V: The Luminy VolumeVol.…
https://www.statslab.cam.ac.uk/~nickl/Site/__files/IMSCOLL522.pdf26 Feb 2010: 24) ch(p, q) ‖p q‖2,λ Ch(p, q). holds for p, q P (t, ζ, D) with t > 1/2 and ζ > 0 (cf. ... Consequently, us-ing (24), the Hellinger-bracketing metric entropy H[](ε, P̄H(n), ‖ ‖2,λ) (with P̄H(n) ={ p : p P̃H(n) }) can be bounded by the L2(T -
Maximum likelihood estimation of a multidimensional log-concave…
https://www.statslab.cam.ac.uk/~rjs57/CSSFinalLV.pdf24 Mar 2010: n = 100 n = 200 n = 500 n = 1000 n = 2000d = 2 1.5 secs (260) 2.9 secs (500) 50 secs (1270) 4 mins (2540) 24 mins (5370)d = 3 6 -
ODE approximations to some Markov chain models Perla Sousi ...
https://www.statslab.cam.ac.uk/~ps422/smithknight1.pdf10 Nov 2010: 23. 4.2.2 Notation. 24. 4.2.3 Defining the rates of individual interactions. ... 24. 4.2.4 Deriving the Markov chain rates. 25. 4.2.5 Example: n = 1. -
Confidence bands in density estimation
https://www.statslab.cam.ac.uk/~nickl/Site/__files/AOS738.pdf19 Feb 2010: The Annals of Statistics2010, Vol. 38, No. 2, 1122–1170DOI: 10.1214/09-AOS738 Institute of Mathematical Statistics, 2010. CONFIDENCE BANDS IN DENSITY ESTIMATION. BY EVARIST GINÉ AND RICHARD NICKL. University of Connecticut and University of -
L.dvi
https://www.statslab.cam.ac.uk/~rrw1/oc/L2010a4.pdf25 Nov 2010: 236.5 Calculation of the Gittins index. 24. 6.6 Forward induction policies. ... 24. 7 Average-cost Programming 257.1 Average-cost optimization. 257.2 Example: admission control at a queue.
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