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51 - 60 of 78 search results for KaKaoTalk:po03 op |u:www.statslab.cam.ac.uk where 0 match all words and 78 match some words.

  1. Results that match 1 of 2 words

  2. � ������� �� � ����� � ������������ �� ������� ...

    www.statslab.cam.ac.uk/~frank/PAPERS/kmbk.pdf
    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. Bayesian Non-linear Statistical Inverse Problems

    www.statslab.cam.ac.uk/~nickl/Site/__files/FINALBOOKPDF.pdf
    16 Jan 2024: Theusual stochastic OP ;oP notation will be used throughout for P D PN or equivalentlyP N. –

  4. RANDOM GRAPHS WITH FORBIDDEN VERTEX DEGREES GEOFFREY GRIMMETT AND ...

    www.statslab.cam.ac.uk/~grg/papers/sj208.pdf
    2 Jul 2009: op(n) edges and n0/np 1, which is to say that n(1 op(1)) vertices are.

  5. 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

  6. 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

  7. ��������� ��� ���������� �� � ��������� �� ����� ��!�"# ...

    www.statslab.cam.ac.uk/~rjs57/NonParaRegR.pdf
    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.

  8. 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.

  9. 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

  10. 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

  11. 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.

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