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11 - 20 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. 2 Oct 2001: OP (ë OP7âPãä-o%}Ïb)1A(Ð?0à N ø Q â )1/q-/qj#H #/qj#I/z2?,Càsá ä (ë ä â àsá (ë â I àá (ë â ... Y}{|r%39:F9t#l26A(ij]#vmI)1/8A6#IH7o)1mI#26'7#vH7A(?jmI#%6%àá OPOP â Pã ä <bàë OPOP â Pjã ä
  3. 21 Apr 2010: x2jx2j 1. f̂h(x) f (x) dx}. (A.8). Op(. log(1/ h). nh2+ h. ... 2r. Thus B̂1,j = B1,j Op(n2/7), B̂2,j = B2,j Op(n.
  4. sjqrw3.dvi

    www.statslab.cam.ac.uk/~grg/papers/sjqrw3.pdf
    15 Aug 2012: E (Xrn) =. 2π. 0. 〈Ψn(k),DrΨn(k)〉dk. 2π, (16). where D = X̂ = id/dk is the position op-. ... 2d}. In general, the evolution op-erator U(k) generates entanglement betweenthe different spatial directions and it is neces-sary therefore to consider
  5. Nonparametric Bernstein-von Mises theorems in Gaussian white noise

    www.statslab.cam.ac.uk/~nickl/Site/__files/AOS1133.pdf
    28 Oct 2013: Then, as n ,P nf0 (f0 Cn) 1 α and Rn = OP (1). ... n(f : ‖f f0‖22 > rn. ) = oP (1).Let μn, νn satisfy (21).
  6. visa06f-courcoubetis.dvi

    www.statslab.cam.ac.uk/~rrw1/research/visa09.pdf
    20 Jan 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
  7. Stochastic Networks Conference, 2006

    www.statslab.cam.ac.uk/~frank/TALKS/StochNet2006.pdf
    2 Jul 2006: M. N. OP. Q. R ST. 21. Reference: Schafer and Victor (2000) The future mobility of the world population, Transportation Research A34(3), 171-205.
  8. Michael's major contributions to stochastic optimization and…

    www.statslab.cam.ac.uk/~mike/QF2023/Consigli1.pdf
    18 Apr 2023: Sci. and Op.Res., pp. 177–200. MAHD with Medova, E., Y.Yong, Y., 2012.
  9. Towards Reliable Inference for Precision Medicine

    www.statslab.cam.ac.uk/~qz280/talk/jsm-2021/slides.pdf
    3 Jun 2024: Assumption. I ‖µ̂t µt‖2 = op(n1/4);I ‖µ̂y µy‖2 = op(1);I ‖µ̂t µt‖2 ‖µ̂y µy‖2 = op(n1/2).
  10. 24 Apr 2005: HJI8IL]MPOnak3Oy]RTM[?Y[REuPH(cREL] LdB) #KR X OP" RTMM[H3gfk2ak3U] ak3OnY[RTM. ... Rl[]giYkiXiL_SY[RNQePvP]ltutuLGVYSU[RNL_lVY[]tQVUceSVYXZL:kiSYccemcTm bXi[RNX[]dVUXiL1QTzMVUXiceSZS Wcbgxw EHG;G I 4CTA)C O[M[cRam UZ|LZYy<32O)C8yRTMeMcIk3OY[REgfUZoaopb_M
  11. Mathematics of Machine LearningRajen D. Shah…

    www.statslab.cam.ac.uk/~rds37/teaching/machine_learning/notes.pdf
    12 Mar 2024: Y ), which determines the op-timal h, will be unknown.

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