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  1. Results that match 1 of 2 words

  2. Collisions of Random Walks Martin T. Barlow∗ Yuval Peres† ...

    https://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
  3. SK2msprnts4.dvi

    https://www.statslab.cam.ac.uk/~yms/SK2msprnts.pdf
    29 Jun 2012: Cm); they form stochastic submatrices. 10. Page 23, Line 20 and below, and the whole of Page 24 should read asfollows:. ... i}). =1/m 1/(i 1). 1/i(i 1) =i. m. 24. Page 103, Line 13 down:For p = 0, this is trivial, as For p = 0, equality ψp = ψp
  4. opt.dvi

    https://www.statslab.cam.ac.uk/~grg/papers/USopt.pdf
    15 Aug 2012: See [24, 51, 52] for more informa-tion and references.Few non-trivial facts are known about the limit set L, and much eort hasbeen spent, largely inconclusively, on attempting to
  5. grimmett.dvi

    https://www.statslab.cam.ac.uk/~grg/papers/camnato.pdf
    15 Aug 2012: 24] for a discussion). If d 3 and q is sufficiently large, then the uniqueness is aconsequence of Pirogov–Sinai theory ([37, 39]). ... 1992). Potts models and random-cluster processes with many-body interac-. tions (to appear).24.
  6. Mobile Geometric Graphs: Detection, Coverage and Percolation Yuval…

    https://www.statslab.cam.ac.uk/~ps422/tperc.pdf
    20 Apr 2012: E [vol (Wg(t))] c E [vol (W0(t))]. (7). The expected volume of the Wiener sausage with g 0 is known to satisfy [24, 2]. ... P [Kct ] t exp(c1L). (24). We will now derive an upper bound for P[H̃t].
  7. PERCOLATION SINCE SAINT-FLOUR GEOFFREY R. GRIMMETT AND HARRY KESTEN…

    https://www.statslab.cam.ac.uk/~grg/papers/stf.pdf
    2 Jul 2012: Probab. 24 (1996), 1036–1048. 4. M. Atapour and N. Madras, On the number of entangled clusters, J.Statist. ... J. Probab. Stat. 24 (2010), 300–320. 114. H. Kesten, V. Sidoravicius, and Y.
  8. Geometry of Lipschitz percolation

    https://www.statslab.cam.ac.uk/~grg/papers/AIHP403.pdf
    11 Apr 2012: Ax,m(n)) nnr=0 hmp (r). 1. (24). Once this is proved, it follows by (23) that. ... prove (24), and the proof is essentially that of [11], Lemma 5.17.
  9. orient2.dvi

    https://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]).
  10. Lund.dvi

    https://www.statslab.cam.ac.uk/~rjs57/Lund.pdf
    13 Sep 2012: K}. We aim to minimise the misclassification error rate orrisk :. Risk(C) = P(. C(X) 6= Y). September 13, 2012- 24. R.
  11. Influence and sharp-threshold theorems for monotonic measures

    https://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).

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