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Optimization and Control Contents Table of Contents i Schedules ...
www.statslab.cam.ac.uk/~rrw1/oc/oc2012.pdf21 Mar 2012: The new drug is untested and has an unknown probability of success θ,which the doctor believes to be uniformly distributed over [0, 1]. ... For example, suppose p = 0.6 and 6 trials with the new drug have givens = f = 3. -
sieve.dvi
www.statslab.cam.ac.uk/~grg/papers/USsieve.pdf15 Aug 2012: This is certainly achieved if the earliest jHjk such sr eachstrikes a new integer of H, i.e., an integer struck by no smaller sr (here and laterwe sometimes use real -
kesten.dvi
www.statslab.cam.ac.uk/~grg/papers/USkesten.pdf15 Aug 2012: R. (1989), Percolation, Springer, New York.7. Grimmett, G. R. (1994), Potts models and random-cluster processes with many-bodyinteractions, Journal of Statistical Physics 75, 67–121. -
tri.dvi
www.statslab.cam.ac.uk/~grg/papers/ustri.pdf15 Aug 2012: Stochastic Processes and their Applications 26 (1987), 1–30. 9. Janson, S., New versions of Suen’s correlation inequality, Random Structures and Algorithms. -
potts.dvi
www.statslab.cam.ac.uk/~grg/papers/potts.pdf15 Aug 2012: For example, the critical probability of a percolationprocess cannot increase if new edges are added to the lattice. ... Such monotonicity, when true, is usually easy to prove. Strict monotonicity, onthe other hand, presents new difficulties. -
notes.dvi
www.statslab.cam.ac.uk/~grg/papers/USrednotes.pdf15 Aug 2012: Their solutions require a mixture of new ideas, from analysis, geometry, anddiscrete mathematics. -
epi.dvi
www.statslab.cam.ac.uk/~grg/papers/epi.pdf15 Aug 2012: phase diagram of a modied epidemic model in which new susceptiblesare born at some positive rate. ... M. (1985). Interacting Particle Systems. Springer-Verlag, New York.Menshikov, M. V. (1986). -
rcm1-1.dvi
www.statslab.cam.ac.uk/~grg/books/rcm1-1.pdf23 Jul 2012: Thelast model is especially challenging because it is non-ferromagnetic, and thus givesrise to new problems of importance and difficulty. ... There are many new complications and some of the basic questions remainunanswered, at least in part. -
notes-reprint2012.dvi
www.statslab.cam.ac.uk/~grg/papers/notes-reprint2012.pdf15 Aug 2012: solve.• Their solutions require a mixture of new ideas, from analysis, geometry,. -
keane.dvi
www.statslab.cam.ac.uk/~grg/papers/USkeane.pdf15 Aug 2012: We continue similarly, at each stage picking anew trifurcation tk Λ and a new vertex yk Λ. -
negass.dvi
www.statslab.cam.ac.uk/~grg/papers/negass.pdf15 Aug 2012: Thus, from every pair Ci, Cj ofdistinct components, we obtain new elements F ′ of Fs1 by adding an edge joiningCi to Cj. ... their Applications 59 (1995), 267–275. 13. Janson, S., Luczak, T., Ruciński, A., Random Graphs, Wiley, New York, 2000.14. -
Influence and sharp-threshold theorems for monotonic measures
www.statslab.cam.ac.uk/~grg/papers/influe.pdf15 Aug 2012: N ). We writeg = (gki : 1 i N ) for the associated function given by (2.12)–(2.14)subject to the new ordering, and C = g1(A). ... j1, j1,. , N}, and we construct a continuous increasing function g as abovebut subject to the new ordering. -
decay2.dvi
www.statslab.cam.ac.uk/~grg/papers/USdecay2.pdf15 Aug 2012: The principal new technique is aform of Russo's formula for random-cluster models reported by Bezuidenhout, Grimmett, andKesten. -
gmv.dvi
www.statslab.cam.ac.uk/~grg/papers/USmprf.pdf15 Aug 2012: In this new network there are jeB(n)j parallelconnections between @B(n) and @B(n1), each of which has (for n M = M(Z))a resistance exceeding c= logn (by -
PERCOLATION SINCE SAINT-FLOUR GEOFFREY R. GRIMMETT AND HARRY KESTEN…
www.statslab.cam.ac.uk/~grg/papers/stf.pdf2 Jul 2012: There has been a great deal of interest and activity in percolation theorysince the two Saint-Flour courses, [76, 111], of 1984 and 1996 reprinted inthis new edition. ... Press, New York, 1990,pp. 167–190. 91. O. Häggström, Uniqueness in -
rssb_1034 ..
www.statslab.cam.ac.uk/~rds37/papers/Shah%20Samworth%202013%20Variable%20selection%20with%20error%20control%20-%20another%20look%20at%20stability%20selection.pdf20 Dec 2012: We discuss these conditions in detail in Sections 3.2 and 3.3 respectively andcompare both the original and the new bounds to demonstrate the marked improvement. ... Our improved bounds are based on new versions of Markov’s inequality that hold for -
orient2.dvi
www.statslab.cam.ac.uk/~grg/papers/orient2.pdf15 Aug 2012: New difficulties arise through the presenceof orientations on the edges of the underlying lattice, and new ideas are neededto overcome these problems. ... 8, Springer, Berlin–Heidelberg–New York, 1987, pp. 13–20. 2. Aizenman, M., Newman, C. -
grimmett.dvi
www.statslab.cam.ac.uk/~grg/papers/camnato.pdf15 Aug 2012: Having constructed tm1,we define tm = tm(X, X) by adding to tm1 a new edge 〈ξim , ξm〉 where 1 im < mand ξm ( X{ξ1, ξ2,. , -
opt.dvi
www.statslab.cam.ac.uk/~grg/papers/USopt.pdf15 Aug 2012: The percolation model contains a maxi-mum of (statistical) independence, and has proved a superb testing ground for new. ... Percolation theory has earned a reputation as a source of hard problems which areeasy to state and whose solutions require new -
Geometry of Lipschitz percolation
www.statslab.cam.ac.uk/~grg/papers/AIHP403.pdf11 Apr 2012: U. In the latter case, we may remove U together with the previous DV stepto obtain a new admissible Λ-path from 0 to x of shorter length than π , a -
10-grg.dvi
www.statslab.cam.ac.uk/~grg/books/hammfest/10-grg.pdf15 Aug 2012: Each time we reach a new red vertex, there is astrictly positive probability that this vertex is the root of an ǫ-robust treein future generations. ... Soviet Mathe-matics Doklady 28, 23–26. Grimmett, G. R. (1989). Percolation. Springer-Verlag, New -
mcst.dvi
www.statslab.cam.ac.uk/~grg/papers/USmcst.pdf15 Aug 2012: By(3.13), this process is supercritical. It follows that pc(k) p.(iv) A detailed argument would be long and contain no new ideas, and is thereforeomitted. -
crit6.dvi
www.statslab.cam.ac.uk/~grg/papers/UScrit6.pdf15 Aug 2012: families a new collection (Yx : x Zd) of random variables, which constitutes a site. ... another vertex is selected as a new starting point, and the process is iterated. -
rctree.dvi
www.statslab.cam.ac.uk/~grg/papers/USrctree.pdf15 Aug 2012: We augment this graph by adding certainnew edges. Specifically, for distinct u,v Λ, we add a new edge between the pairu, v if either:(a) there exists a path of -
bg6.dvi
www.statslab.cam.ac.uk/~grg/papers/USbg6.pdf15 Aug 2012: At each new point that it encounters, this point is a rw point withprobability prw, and the chance that r new points are not rw points is therefore (1 ... LK1. Now, by Theorem 3.4 and the remarks thereafter, each time thatthe above construction -
inter4.dvi
www.statslab.cam.ac.uk/~grg/papers/USinter4.pdf15 Aug 2012: Thegeometry of the interfaces for this model is notably different from that of a spinmodel since the configurations are indexed by edges rather than by vertices, andthis leads to some new ... Although Dobrushin’s work is a helpfulindicator of the -
meanf.dvi
www.statslab.cam.ac.uk/~grg/papers/USmeanf.pdf15 Aug 2012: 6. Proofs of main results. In this section we combine the results derived so far with a new argument in orderto prove Theorems 2.1–2.3 for q 1. ... Inthe case q = 1, this gives new information about the probabilities of large deviationsof Cn. -
Random-cluster representation of the Blume–Capel model B. T. Graham,…
www.statslab.cam.ac.uk/~grg/papers/blume.pdf15 Aug 2012: q} where q 1. We intro-duce this new model in Section 3, where we dub it the Blume–Capel–Potts(BCP) model. -
elec.dvi
www.statslab.cam.ac.uk/~grg/papers/USelec.pdf15 Aug 2012: The only new complication is that for γF (0) > 1 the branching process. -
ems.dvi
www.statslab.cam.ac.uk/~grg/papers/usems.pdf15 Aug 2012: THE RANDOM-CLUSTER MODEL. Geoffrey GrimmettAbstra t. The class of random-cluster models is a unification of a variety of sto-chastic processes of significance for probability and statistical physics, including per-colation, Ising, and Potts models; -
potts2.dvi
www.statslab.cam.ac.uk/~grg/papers/USpotts2.pdf15 Aug 2012: The truth of such an assertionis sometimes far from evident. When studying such systems in generality, new difficultiesusually arise. -
rcproc.dvi
www.statslab.cam.ac.uk/~grg/papers/USrcproc.pdf15 Aug 2012: the many open problems. Secondly, we present new results for such measures, as. ... model. In additionthis paper contains new results, as summarised later in this introduction. -
Three theorems in discrete random geometry
www.statslab.cam.ac.uk/~grg/papers/PS_2011_185-rev.pdf27 Jan 2012: Probability Surveys. Vol. 8 (2011) 294–332ISSN: 1549-5787DOI: 10.1214/11-PS185. Three theorems in. discrete random geometry. Geoffrey Grimmett. Centre for Mathematical SciencesUniversity of Cambridge. Wilberforce RoadCambridge CB3 0WB, UK. e-mail: -
notes.dvi
www.statslab.cam.ac.uk/~grg/papers/USstflour.pdf15 Aug 2012: Their solutions require a mixture of new ideas, from analysis, geometry, anddiscrete mathematics.
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