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  1. Results that match 1 of 2 words

  2. 23 Apr 2007: 25] and by Osborne and Nielsen [24] (see, forexample, [4] and the references therein for further studies). ... satisfying Q 1,S1 log ν. (2.24). 10 G. R. Grimmett, T.
  3. bg6.dvi

    www.statslab.cam.ac.uk/~grg/papers/USbg6.pdf
    15 Aug 2012: Our basic strategy in proving the central limit theorem isto adapt the arguments proposed by Kipnis and Varadhan [24] and further developed byDeMasi, Ferrari, Goldstein, and Wick [10, 11]. ... One of the main properties of the chain Xω is its
  4. Stability and fairness of explicit congestion control withsmall…

    www.statslab.cam.ac.uk/~frank/PAPERS/KRV/krvpaper.pdf
    14 May 2008: Then from (22) we get. v̇j (t) = aj (Yj Cj ). Cj Yj T j. X. r:jr. xαrwαr Tr. zr(t Trj) (24). ... Proceedings of IFACWorld Congress, Barcelona, Spain 2002. [24] T. Voice. Stability of multi-path dual congestioncontrol algorithms.
  5. Mixing times of Markov chains Perla Sousi∗ December 8, ...

    www.statslab.cam.ac.uk/~ps422/mixing-notes.pdf
    8 Dec 2020: 16. 3.2 Examples. 20. 3.3 Hitting time bound. 23. 4 Dirichlet form and the bottleneck ratio 24. ... 24. Corollary 4.2. Let P be a reversible matrix with respect to π.
  6. Collisions of Random Walks Martin T. Barlow∗ Yuval Peres† ...

    www.statslab.cam.ac.uk/~ps422/collisions-rws.pdf
    20 Apr 2012: 24. (5.19). Hence the number of rounds before hitting the root has a Geometric distribution,so it has bounded expectation. ... 1. α2β(n1)1lk=2. Po(Zn, > 0,Zn,k > 0). (5.24). 25. We let An, = Jn,1 Jn, Jn,1, for = 1, ,α2β(n1) 1 and for = 0 we
  7. Math. Stat. Learn. 2 (2019), 165–216DOI 10.4171/MSL/14 Mathematical…

    www.statslab.cam.ac.uk/~nickl/Site/__files/MSL.pdf
    24 Sep 2020: In the context of EIT we refer to the articles [10,12,21,22,24,42] andthe many references therein. ... JKU DXjJ. XkK. hU.r/j ;. 0/. kiL2.@D/b. r/. jk: (24). Lemma 4.
  8. O.dvi

    www.statslab.cam.ac.uk/~rrw1/opt/O.pdf
    10 May 2016: 24. 7 Algebra of Linear Programming. 7.1 Sensitivity: shadow prices. Each row of each tableau merely consists of sums of multiples of rows of the originaltableau.
  9. Sparsity

    www.statslab.cam.ac.uk/~rds37/papers/MATTER_talk_Rajen.pdf
    18 May 2015: Rajen Shah (Cambridge) Sparsity 18 May 2015 24 / 41. Sketching methods.
  10. Stochastic Financial Models J.R. Norris December 4, 2019 1 ...

    www.statslab.cam.ac.uk/~james/Lectures/sfm.pdf
    4 Dec 2019: Set. ε =1. 2inf{f(θ) : θ S}. 24. Then ε > 0 because S is compact. ... 33 25 22 16 10 765 56 52 46 26 24 17 15 8 156 55 53 48 41 25 18 12 11 258 54 53 47 35 33 24 15
  11. Intersection and mixing times for reversible chains Yuval Peres∗ ...

    www.statslab.cam.ac.uk/~ps422/intersection-mixing.pdf
    7 Jan 2015: Pπ,π(τI t) 27 C2Q. C2Q (1 2e. )Q. If we take C so that C2 = (12/e)/28 and we choose C1 = (12/e)1/2 24, then from
  12. 13. Lecture 14. Applications of the distribution theory Lecture ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-14-normal-applications-4.pdf
    6 Mar 2017: 13. Lecture 14. Applications of the distribution theory. Lecture 14. Applications of the distribution theory 1 (1–75). 14. Applications of the distribution theory 14.1. Inference for β. Inference for β. We know that β̂ Np(β,σ2(XT X )1), and
  13. DOI 10.4171/JEMS/975 J. Eur. Math. Soc. (Online First) c� ...

    www.statslab.cam.ac.uk/~nickl/Site/__files/JEMS975.pdf
    22 May 2023: Lemma 24, specifically (100) below, and definition(21) now imply that. kwhkL2  Ckhvhk(H 20 )  Ckhk(H 20 ) supk'kH 2 1. ... Finally, since vhsolves (22), by the regularity estimates in Lemma 24 with = 0 and since kuf kC2 c(D, kgkCs2(Ō)) by
  14. The Annals of Applied Probability2004, Vol. 14, No. 3, ...

    www.statslab.cam.ac.uk/~mike/papers/HJMhedge.pdf
    15 Feb 2006: g̃(x) g̃(y)| C1‖x y‖F(24)for all x, y F and some constantC1 > 0. ... If we can prove that̃PT H1(F ), condition (24) and Proposition 4.6 imply thatthe Clark–Ocone formula applies.
  15. orient2.dvi

    www.statslab.cam.ac.uk/~grg/papers/orient2.pdf
    15 Aug 2012: Directed percolation is closely related to the contact model, for which blockarguments have been used to prove results related to some of those describedabove (see [7, 12, 23, 24]).
  16. Symmetric Rearrangements Around Infinity with Applications to Lévy…

    www.statslab.cam.ac.uk/~ps422/LevyRearrangement.pdf
    25 Oct 2011: on O}, (1.24). with CqX(O) := if the infimum is taken over an empty set. ... show. that the infimum in (1.24) is achieved at a function eqO D(Eq), called the q-equilibrium potential ofO.
  17. t.dvi

    www.statslab.cam.ac.uk/~rrw1/timeseries/t.pdf
    21 Sep 2005: 236.5 Calculation of seasonal indices. 24. 7 Fitting ARIMA models 25. ... 24. 7 Fitting ARIMA models. 7.1 The Box-Jenkins procedure. A general ARIMA(p, d, q) model is φ(B)(B)dX = θ(B)ǫ, where (B) = I B.The
  18. book.dvi

    www.statslab.cam.ac.uk/~grg/papers/perc/chap1.pdf
    14 Oct 1998: 1.24) δ(p) = limn. {n(d1)/d log Pp(|C|= n). }exists and is strictly positive when p > pc. ... The existence of the limit in (1.24) has been proved when d = 2 by Alexander,Chayes, and Chayes (1990), and when d = 3 by Cerf (1998b).
  19. 24 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
  20. 17 Mar 2017: those that jump to a cemetery state after explosion. Proof of Theorem 1.24. ... P ′(t) = P(t)Q and P(0) = I. Proof. The equivalence between (a) and (c) follows from Theorem 1.24.
  21. Mixing times are hitting times of large sets Yuval ...

    www.statslab.cam.ac.uk/~ps422/mix-hit.pdf
    25 Apr 2013: 24. 10 Examples and Questions. We start this section with examples that show that the reversibility assumption in Theorem 1.1and Corollary 2.5 is essential.
  22. Percolation and Random walks on graphs Perla Sousi∗ May ...

    www.statslab.cam.ac.uk/~ps422/percolation-rws.pdf
    3 Oct 2018: 21. 1.9 Power law inequalities at the critical point. 24. 1.10 Grimmett Marstrand theorem. ... This is exactly what the BK inequality says. Definition 1.24. For every ω = {0, 1}E and a subset S E we write. [
  23. Influence and sharp-threshold theorems for monotonic measures

    www.statslab.cam.ac.uk/~grg/papers/influe.pdf
    15 Aug 2012: 2.24) λ(C | Uj = 1) = λ(g(U ) A) λ(f (U ) A) = λ(B | Uj = 1).
  24. Tutorial Bandit Processes and Index Policies Richard Weber,…

    www.statslab.cam.ac.uk/~rrw1/talks/YETQweber2013.pdf
    14 Nov 2013: 24 / 52. Proof strategy. Find a set of linear inequalities that must be satisfied. ... 24 / 52. Bandit processes. 25 / 52. Two-job scheduling problem.
  25. 41 Paper 1, Section I 7H StatisticsSuppose that X1, ...

    www.statslab.cam.ac.uk/~rrw1/stats/StatisticsTriposQuestions.pdf
    17 Sep 2015: 24(0.05) = 9.49.]. Part IB, 2014 List of Questions. 43. Paper 4, Section II. ... 24 χ. 25 χ. 26. 95 percentile 3.84 5.99 7.82 9.49 11.07 12.59. ].
  26. Lecture Notes on Causal Inference(with corrections) Qingyuan Zhao May …

    www.statslab.cam.ac.uk/~qz280/teaching/causal-2023/notes-2021.pdf
    3 Jun 2024: 24. Informal proof of (2.17). Notice that θ̂ is an empirical solution to the equation. ... 2]0. 2.31 Exercise. Use your results in Exercise 2.24 to derive the conditions under whichV1 = V2 = V3.
  27. 22 May 2013: 24. 6.5 Feasibility of wind instruments. 24. 7 Invariant distributions 25. ... 24. 7 Invariant distributions. 7.1 Examples of invariant distributions. Many of the long-time properties of Markov chains are connected with the notion ofan invariant
  28. inter4.dvi

    www.statslab.cam.ac.uk/~grg/papers/USinter4.pdf
    15 Aug 2012: Using (5.17)–(5.18) of[22], together with estimates at the beginning of the proof of Lemma (2.24) of [29],we find that. ... We have forf W(δ1) QG/3(e1) that. τ[QG/3(f) EL1,M1. ]= QG/3(τf) EL2,M2, (24).
  29. 21 Paper 3, Section I 9H Markov ChainsLet (Xn)n>0 ...

    www.statslab.cam.ac.uk/~rrw1/markov/MarkovChainTriposQuestions2004-11.pdf
    4 Sep 2011: Part IB, 2010 List of Questions [TURN OVER. 24. Paper 2, Section II. ... 24. Paper 1, Section II. 19H Markov Chains. A gerbil is introduced into a maze at the node labelled 0 in the diagram.
  30. Uniformity of the late points of random walk on Znd for d 3

    www.statslab.cam.ac.uk/~ps422/rwunif2.pdf
    12 Sep 2013: combining (2.24)and (2.25) we obtain the following bound for the first probability on the right side of (2.23):. ... 1. nζ(κ2)/κ. ))). 24 JASON MILLER AND PERLA SOUSI. We now set δ = n(d2)ζ/κψ and ψ (0, 1/2) very small.
  31. rcproc.dvi

    www.statslab.cam.ac.uk/~grg/papers/USrcproc.pdf
    15 Aug 2012: φbp,q = αφ′ (1 α)φ′′. for some distinct φ′,φ′′ Rp,q. It follows by [24, Thm. ... The given statement for θ0 may be proved similarly, making use of Theorem3.2 and [24, Prop.
  32. Bayesian Non-linear Statistical Inverse Problems

    www.statslab.cam.ac.uk/~nickl/Site/__files/FINALBOOKPDF.pdf
    16 Jan 2024: 232.1 Analytical hypotheses and PDEs. 24. 2.1.1 Forward regularity conditions for G. ... satisfy, for all N large enough,. …N.BN/ eANı2. N for some A > 0: (1.24).
  33. IPCost Article – Outline

    www.statslab.cam.ac.uk/~frank/PAPERS/DHK.pdf
    10 May 2004: 7 The calculations underlying this chart are based on a peak rate of 64 kb/s and a mean rate of 24.8 kb/s for each voice connection.
  34. Criticality, universality, and isoradiality Geoffrey R. Grimmett…

    www.statslab.cam.ac.uk/~grg/papers/ICMfinal12-2.pdf
    7 Oct 2014: In the limit as 0, we obtain2 the critical space–time percolation process onZ R, see Figure 5.1 and, for example, [24].
  35. 15 Aug 2012: limΛLd. φ0Λ(A B) = Φ0(1A(ψ)µ0ψ(B)). (7.7). 24 B. T. Graham and G.
  36. Sheet1

    www.statslab.cam.ac.uk/~chris/DATAPAK/SomeSP.xls
    20 Jul 2010: 9.42. 55.88. 71.47. 25.74. 71.76. 16.87. 24. 66.91. 83.13. 34.2. 36. ... 13.31. 208.99. 33.94. 31.57. 8.21. 56.9. 69.16. 25. 64. 16.71. 24.39.
  37. cam-report-final formatted

    www.statslab.cam.ac.uk/~grg/papers/cam-report-final2.pdf
    9 Mar 2011: 15. Member State Population 5 upwards 6 standard Now. 24 Estonia 1 340 127 7 8 6. ... 24 Estonia 1 340 127 7 8 6. 25 Cyprus 803 147 6 7 6.
  38. 13 Jun 2014: Ui′(λi) yi(λ) < 0 (23). U′i(y(λ)) λi > 0 (24). yi(λ)λi. ... Notice the inequality (24), which is satisfied at λi = 0,cannot be sustained for all λi since U′i(y(λ)) is a decreasing function of λi.
  39. Statistical modellingLecturer: Alberto J. Coca…

    www.statslab.cam.ac.uk/~qz280/teaching/modelling-2022/notes_3Dec19.pdf
    3 Jun 2024: Statistical modellingLecturer: Alberto J. Coca. alberto.j.coca@statslab.cam.ac.uk1. Course website: https://albertococacabrero.wordpress.com/teaching/lectures/statistical-modelling-michaelmas-2019/. Acknowledgements: the following notes (and the
  40. C:JMNSC*-1MNSC0455.DVI

    www.statslab.cam.ac.uk/~frank/PAPERS/aks_final.pdf
    2 Jul 2007: yi = c1/%( 1. 0Ɛ#t % dt. )1/%1. 10Ɛ#t %1#it dt (24). ... parameter %: If % = 1,the optimal choice of contract quantity (24) dependsonly on the expectation.
  41. THE PHASE TRANSITION OF THEQUANTUM ISING MODEL IS SHARP ...

    www.statslab.cam.ac.uk/~grg/papers/qimfinalUS.pdf
    24 Jun 2009: αw. [2µ2δ(Dw H, d(w) = 0)(3.24). µ2δ(Dw H, d(w) 1)],. for appropriate sets H, where. ... 24 J. E. BJÖRNBERG AND G. R. GRIMMETT. We prove (4.2) first for the special case when F 1, that is,.
  42. ODE approximations to some Markov chain models Perla Sousi ...

    www.statslab.cam.ac.uk/~ps422/smithknight1.pdf
    10 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.
  43. 21 Paper 4, Section I 9H Markov ChainsLet X0, ...

    www.statslab.cam.ac.uk/~rrw1/markov/MarkovChainTriposQuestions.pdf
    17 Sep 2015: Part IB, 2014 List of Questions [TURN OVER. 24. Paper 3, Section I. ... Part IB, 2014 List of Questions [TURN OVER. 24. Paper 4, Section I.
  44. Mixing time for random walk on supercritical dynamical percolation ...

    www.statslab.cam.ac.uk/~ps422/supercritical-draft.pdf
    15 Aug 2017: Steif‡. July 24, 2017. Abstract. We consider dynamical percolation on the d-dimensional discrete torus of side length n, Zdn,where each edge refreshes its status at rate µ = µn
  45. Noname manuscript No.(will be inserted by the editor) Resource ...

    www.statslab.cam.ac.uk/~frank/PAPERS/ERLANG/kmwV3.pdf
    21 Oct 2009: We state the result here, but refer the reader to (24, Section C) for anaccessible justification of the result and to (30, Section 7) for a proof. ... φ RJ+. 24. Thus ( N(h)sh. : s S) has a characteristic function that converges in the following way.
  46. 3 Jul 2013: This general approach was introduced by Baxter and Enting [3] in a studyof the Ising model, and has since been developed under the name Yang–Baxterequation, [22, 24].
  47. The Annals of Applied Probability2004, Vol. 14, No. 3, ...

    www.statslab.cam.ac.uk/~frank/PAPERS/AAP007.pdf
    5 Jul 2004: Wα = AM1Mα,(24)whereM = diag(µ), A is theJ I matrix obtained fromA by eliminating thoserows ofA that are not indexed by elements ofJ, and.
  48. Cluster detection in networks using percolation

    www.statslab.cam.ac.uk/~grg/papers/BEJ412.pdf
    14 Mar 2013: 24]; Rotz and Hughes [49];Wagner et al. [53]). Pixels in digital images are also sensors, and thus many other applications arefound in the rich literature on image processing, for example,
  49. paper.dvi

    www.statslab.cam.ac.uk/~frank/PAPERS/fse2ecc.pdf
    31 May 2007: 24). In this case the covariance matrix Σ has the relatively simple form.
  50. createdbydvipdf

    www.statslab.cam.ac.uk/~rrw1/research/K3%20revised.pdf
    17 Oct 2011: 24). This is nearly the dual of (23). With (24) in mind, we imagined taking y to the the AW strategy and worked at trying to guess a fullbasis in the
  51. 2 Jul 2009: RANDOM GRAPHS WITH. FORBIDDEN VERTEX DEGREES. GEOFFREY GRIMMETT AND SVANTE JANSON. Abstract. We study the random graph Gn,λ/n conditioned on theevent that all vertex degrees lie in some given subset S of the non-negative integers. Subject to a

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