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  1. Results that match 1 of 2 words

  2. 17 May 2003: #"$%'&() ,%" -. "/%0 ". 1+% 23 415 6. 798-:28<;>=8?A@BCEDF;G8IHA:J'CLKMK2NADFOQPSRJTPQU-;GNK2NEVW:YXZ8IK28<CE;2U[@. ]_a [FNbc4K2NHTdfe8IH.D 8A@gZCLbh4;2PjiFkE8(gmlonqpArl>@sY=dYOtCLHulvCLPjH@r ;MCLH4wx=8IOQOy?z :{C|:}PQKG:MPQUICLOfBCEhN;MC:2NA;)?@.
  3. 2 Jul 2009: op(n) edges and n0/np 1, which is to say that n(1 op(1)) vertices are.
  4. Confidence bands in density estimation

    www.statslab.cam.ac.uk/~nickl/Site/__files/AOS738.pdf
    19 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
  5. BROWNIAN SNAILS WITH REMOVAL:EPIDEMICS IN DIFFUSING POPULATIONS…

    www.statslab.cam.ac.uk/~grg/papers/pcv-ejp-rev3.pdf
    7 Jun 2022: BROWNIAN SNAILS WITH REMOVAL:EPIDEMICS IN DIFFUSING POPULATIONS. GEOFFREY R. GRIMMETT AND ZHONGYANG LI. Abstract. Two stochastic models of susceptible/infected/removed (SIR) type areintroduced for the spread of infection through a
  6. 16 Aug 2005: 9x W.k oW op Z-5B21s34'!7&% W[5%21s3=5B-21C9 407!".K&!"24PLNy6%5B21.B50"!78/!;& 46GI21H/3@4>>-2TaE!"8/ &!7#d&%U3!4g524--B5B-(4Y.
  7. Noname manuscript No.(will be inserted by the editor) Resource ...

    www.statslab.cam.ac.uk/~frank/PAPERS/ERLANG/kmwV3.pdf
    21 Oct 2009: We now prove Theorem 2. The theorem helps explain how the collapse ofour original queueing model is related to the multi-path proportionally fair op-timisation problem.
  8. visa06f-courcoubetis.dvi

    www.statslab.cam.ac.uk/~rrw1/publications/Courcoubetis%20-%20Weber%202009%20Economic%20issues%20in%20shared%20infrastructures.pdf
    15 Sep 2011: In this paper welook at a number of models, making different assumptionsabout the parameters that can be measured, and obtain op-timal policies for each model. ... Thus, a sharing policy which simply op-timizes the efficiency of the system for a given
  9. Mathematical Foundations of Infinite-Dimensional Statistical Models

    www.statslab.cam.ac.uk/~nickl/Site/__files/FULLPDF.pdf
    25 Feb 2020: Mathematical Foundations of Infinite-DimensionalStatistical Models. In nonparametric and high-dimensional statistical models, the classical Gauss–Fisher–Le Cam theory of the optimality of maximum likelihood and Bayesianposterior inference does
  10. pgs2e-draft.dvi

    www.statslab.cam.ac.uk/~grg/books/pgs2e-draft.pdf
    4 Jan 2018: copy. right. Geo. ffre. y G. rimm. ett. Probability on Graphs. Random Processes. on Graphs and LatticesSecond Edition, 2018. GEOFFREY GRIMMETT. Statistical LaboratoryUniversity of Cambridge. copy. right. Geo. ffre. y G. rimm. ettGeoffrey Grimmett.
  11. arXiv:math.PR/0001057 v1 11 Jan 2000

    www.statslab.cam.ac.uk/~grg/teaching/doyle.pdf
    14 Dec 2005: arX. iv:m. ath. PR/0. 0010. 57 v. 1 1. 1 Ja. n 20. 00! " # $ % & ' ( ) , -. & /. " 0 ) ) ). 1 % 2 0 " $ 3 4 5 6 1 7 8 9 9 9 ) ) ) :! 5! " ; ( < % 0 =! & > - (? / " $! @ &! = =<! " $ A! > B " % C D % " E 6 # 7. 1 % 2 0 " $ 3 4 5 6 1 7 8 9 F G H 4! I.

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