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Cutoff for Random Walk on Dynamical Erdős-Rényi Graph Perla ...
www.statslab.cam.ac.uk/~ps422/ER_Annealed.pdf21 Nov 2018: Cutoff for Random Walk on Dynamical Erdős-Rényi Graph. Perla Sousi Sam Thomas. Abstract. We consider dynamical percolation on the complete graph Kn, where each edge refreshes itsstate at rate µ 1/n, and is then declared open with probability p = -
O.dvi
www.statslab.cam.ac.uk/~rrw1/opt/O2up.pdf10 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. -
Dimension of Fractional Brownian motion with variable drift Yuval ...
www.statslab.cam.ac.uk/~ps422/dim-graph-image.pdf30 Oct 2013: October 24, 2013. Abstract. Let X be a fractional Brownian motion in Rd. -
Butlletí de la Societat Catalana de MatemàtiquesVol. 31, núm. ...
www.statslab.cam.ac.uk/~nickl/Site/__files/evaristcat.pdf28 Oct 2016: La implicació directa d’aquesta conjectura es provaamb relativa facilitat a partir de resultats estàndards; vegeu [24]. ... núm. 24, 17 p. [A12] Araujo, A.; Giné, E. «On tails and domains of attraction of stablemeasures in Banach spaces». -
John Michael Hammersley JOHN MICHAEL HAMMERSLEY21 March 1920 — ...
www.statslab.cam.ac.uk/~grg/papers/jmh_biom.pdf31 Aug 2007: John Michael Hammersley. JOHN MICHAEL HAMMERSLEY21 March 1920 — 2 May 2004. Elected FRS 1976. By Geoffrey Grimmett and Dominic Welsh. Centre for Mathematical Sciences, University of Cambridge, Cambridge CB3 0WBMerton College, Oxford OX1 4JD. John -
L.dvi
www.statslab.cam.ac.uk/~rrw1/oc/L2010a4.pdf25 Nov 2010: 236.5 Calculation of the Gittins index. 24. 6.6 Forward induction policies. ... 24. 7 Average-cost Programming 257.1 Average-cost optimization. 257.2 Example: admission control at a queue. -
Discrete Mathematics 343 (2020) 111638 Contents lists available at ...
www.statslab.cam.ac.uk/~grg/papers/cubic-published.pdf5 Dec 2019: This question has arisen within the study by the current authors of the properties of connective constants of transitivegraphs, see [24] and the references therein. -
MAHD-CV-26.3.2018 (002)
www.statslab.cam.ac.uk/~mike/QF2023/MAHD-CV-26.3.2018.pdf4 Jul 2023: c.24,000. 1994 British Telecom Laboratories (Performance Engineering), Integrated System Modelling for ATM (Principal Co-investigator). ... c.24,000. 1994-95 British Telecom Laboratories (Network Research Unit), Design and Control of Multi-layer ATM. -
Adaptive estimation of a distribution function and its density in…
www.statslab.cam.ac.uk/~nickl/Site/__files/BEJ239.pdf19 Nov 2010: F. Combining the bounds completes the proof of (24).It remains to prove (25). ... By (19) and (27), we have V ′ c2(λ)nσ 2, and the condition on t together with (24) givesthe result. -
elec.dvi
www.statslab.cam.ac.uk/~grg/papers/USelec.pdf15 Aug 2012: 2.24) x = f (x). As is well known (see Harris (1963) proof of Theorem I.6.1) the only solutions of(2.24) in [0, 1] are q and 1. ... 24 GEOFFREY GRIMMETT AND HARRY KESTEN. as n. Proof. We prove. -
18 Heavy traffic on a controlled motorway F. P. ...
www.statslab.cam.ac.uk/~frank/PAPERS/KingFest/kwroad.pdf24 Feb 2010: incentives are provided to the larger system [24, 38]. Might some of these ideas transfer to help our understanding of the. ... of rate control algorithms in the Internet [24, 38]. Let I+(n) = {i I : ni > 0}. -
Optimization and Control Richard Weber, Lent Term 2016 Contents ...
www.statslab.cam.ac.uk/~rrw1/oc/oc2016.pdf8 Mar 2016: 24. 6.5 Example: prospecting. 25. 7 Bandit Processes and the Gittins Index 26. -
mcst.dvi
www.statslab.cam.ac.uk/~grg/papers/USmcst.pdf15 Aug 2012: 24 C. BEZUIDENHOUT, G. GRIMMETT, A. LOFFLERwhence, by Wald's equation ([13], p. -
Optimization and Control J.R. Norris November 22, 2007 1 ...
www.statslab.cam.ac.uk/~james/Lectures/oc.pdf22 Nov 2007: and apply the preceding two propositions with θ = Vk. 24. -
Probab. Theory Relat. FieldsDOI 10.1007/s00440-012-0446-z Adaptive…
www.statslab.cam.ac.uk/~nickl/Site/__files/ptrf13.pdf3 Sep 2012: 6)) and since gn (t, B),. ‖ VJn ( f gn)‖22 infg ‖ f g‖22 c(B)22 Jn t 4τn (24). ... the inequality holding for L 0 large enough and some c > 0, as in (24). -
Probab. Theory Relat. Fields (2009) 143:569–596DOI…
www.statslab.cam.ac.uk/~nickl/Site/__files/ptrf09.pdf30 Apr 2009: F Kn (ĥn) Fn ‖ D. n log n. by construction of the estimator, which proves (24). ... holding. Ann. Stat. 24, 508–539 (1996)8. Dümbgen, L., Rufibach, K.: Maximum likelihood estimation of a log-concave density and its distribu-. -
Sensitivity of mixing times in Eulerian digraphs Lucas Boczkowski ...
www.statslab.cam.ac.uk/~ps422/rw-directed-graphs.pdf23 Mar 2016: 1C. (3.24). Let kL and kR denote the left and right rounds respectively completed up to time t. ... one on each cycle, then from (3.22), (3.23) and (3.24) we get for n sufficiently large. -
35 Paper 1, Section I 8H Optimization(a) Consider a ...
www.statslab.cam.ac.uk/~rrw1/opt/OptimizationTriposQuestions.pdf17 Sep 2015: Justify your answer. Part IB 2004. 24. 3/I/5H Optimization. Two players A and B play a zero-sum game with the pay-off matrix. -
Optimization and Control Contents Table of Contents i Schedules ...
www.statslab.cam.ac.uk/~rrw1/oc/oc2012.pdf21 Mar 2012: 24. 6.6 Forward induction policies. 24. 7 Average-cost Programming 25. 7.1 Average-cost optimality equation. -
Advanced Probability Perla Sousi∗ December 17, 2011 Contents 1 ...
www.statslab.cam.ac.uk/~ps422/notes-2011.pdf10 Oct 2013: E[|Y |1(|Y | λ)] E[|X|1(|Y | λ)] ε. Lemma 2.24. Let (Xn)n,X L1 and Xn X as n a.s. ... 24. 2.9 Applications of martingales. Theorem 2.32. [Kolmogorov’s 0-1 law] Let (Xi)i1 be a sequence of i.i.d. -
entperc.dvi
www.statslab.cam.ac.uk/~grg/papers/USentperc.pdf15 Aug 2012: Et(ΨA) aΛs(A) b. for every increasing cylinder event A. Here are some remarks about these two lemmas, which are essentially equa-tions (13.24) and (13.25) of [7]. -
CRITICAL SURFACE OF THE 1-2 MODEL GEOFFREY R. GRIMMETT ...
www.statslab.cam.ac.uk/~grg/papers/12-final-revised.pdf17 Feb 2017: 24 GEOFFREY R. GRIMMETT AND ZHONGYANG LI. To H we assign a clockwise odd orientation as in Figure 5.3: the figure shows aclockwise odd orientation of H1,, embedded in a ... 7] and [24]. We now construct the modified Kasteleyn matrix K1(z,w) of H1, by -
Mathematics of Operational Research Contents Table of Contents i ...
www.statslab.cam.ac.uk/~rrw1/mor/morweber.pdf15 Mar 2016: 225.3 Some NP-complete problems. 24. 6 Computational Complexity of LP 266.1 A lower bound for the simplex method. -
Abstract We survey the published work of Harry Kesten ...
www.statslab.cam.ac.uk/~grg/papers/kesten-ptrf-final.pdf13 Nov 2020: At the time of Harry’s move from theNetherlands to the USA in 1956, as a graduate student aged 24, much of thefoundational infrastructure of probability was in place. -
Contents Vol. 17, No. 2, 2008 Adaptation on the ...
www.statslab.cam.ac.uk/~nickl/Site/__files/gine_nickl.pdf11 Sep 2008: olding”, Ann. Statist. 24, 508–539 (1996).7. E. Giné and D. M. -
Liouville quantum gravity and the Brownian map
www.statslab.cam.ac.uk/~jpm205/slides/lqg_tbm_equivalence_oxford_2015.pdf24 Oct 2015: Markert-Mokkadem). Jason Miller (Cambridge) LQG and TBM July 15, 2015 6 / 24. ... they are equivalent. Jason Miller (Cambridge) LQG and TBM July 15, 2015 10 / 24. -
0. Statistics 1B Statistics 1B 1 (1–1) 0. Lecture ...
www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-01-intro-prob.pdf18 Jan 2017: barplot( dbinom(0:10, 10, 1/6), names.arg=0:10,. xlab="Number of sixes in 10 throws" ). Lecture 1. Introduction and probability review 24 (1–1). 1. Introduction and probability -
Optimization and Control Contents Table of Contents i Schedules ...
www.statslab.cam.ac.uk/~rrw1/oc/oc2013.pdf22 May 2013: 24. 6.5 Bandit processes. 24. 7 Bandit Processes and the Gittins Index 25. -
crit6.dvi
www.statslab.cam.ac.uk/~grg/papers/UScrit6.pdf15 Aug 2012: CRITICAL PROBABILITIES FOR SITE. AND BOND PERCOLATION MODELS. G. R. Grimmett and A. M. Stacey. Department of Pure Mathematics and Mathematical StatisticsUniversity of CambridgeAbstract. Any infinite graph G = (V, E) has a site percolation critical -
Optimization and Control Richard Weber, Michaelmas Term 2014 Contents …
www.statslab.cam.ac.uk/~rrw1/oc/oc2014.pdf29 Nov 2014: 24. 6.5 Example: prospecting. 25. 7 Bandit Processes and the Gittins Index 26. -
notes.dvi
www.statslab.cam.ac.uk/~grg/papers/USstflour.pdf15 Aug 2012: PERCOLATION ANDDISORDERED SYSTEMS. Georey GRIMMETT. 2PREFACEThis course aims to be a (nearly) self-contained account of part of the mathematicaltheory of percolation and related topics. The rst nine chapters summarise rigorousresults in percolation -
Three theorems in discrete random geometry
www.statslab.cam.ac.uk/~grg/papers/PS_2011_185-rev.pdf27 Jan 2012: gular and hexagonal lattices, [24],(c) the critical point of the random-cluster model on the square lattice with. ... 6See also [51]. Three theorems in discrete random geometry 315. Theorem 3.4 ([24]). -
Noname manuscript No.(will be inserted by the editor) Bond ...
www.statslab.cam.ac.uk/~grg/papers/iso-final6.pdf21 May 2013: Formula(1.1) appeared for the first time in this explicit form in the work of Kenyon [24]. ... study of the random-cluster model [16], and of the dimer model [24]. -
21 Paper 3, Section I 9H Markov ChainsLet (Xn)n>0 ...
www.statslab.cam.ac.uk/~rrw1/markov/MarkovChainTriposQuestions2001-11.pdf29 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. -
IMS CollectionsHigh Dimensional Probability V: The Luminy VolumeVol.…
www.statslab.cam.ac.uk/~nickl/Site/__files/IMSCOLL522.pdf26 Feb 2010: 24) ch(p, q) ‖p q‖2,λ Ch(p, q). holds for p, q P (t, ζ, D) with t > 1/2 and ζ > 0 (cf. ... Consequently, us-ing (24), the Hellinger-bracketing metric entropy H[](ε, P̄H(n), ‖ ‖2,λ) (with P̄H(n) ={ p : p P̃H(n) }) can be bounded by the L2(T -
QLE Jason Miller and Scott Sheffield MIT August 1, ...
www.statslab.cam.ac.uk/~jpm205/slides/qleslides.pdf1 Aug 2013: QLE. Jason Miller and Scott Sheffield. MIT. August 1, 2013. Jason Miller and Scott Sheffield (MIT) QLE August 1, 2013 1 / 37. Surfaces, curves, metric balls: how are they related?I FPP: first passage percolation. Random metric on graph obtained by. -
Probab. Theory Relat. Fields (2007) 138:411–449DOI…
www.statslab.cam.ac.uk/~nickl/Site/__files/ptrf07.pdf9 Apr 2007: Richard Nickl. Received: 24 September 2005 / Revised: 14 September 2006 / Published online: 24 October 2006 Springer-Verlag 2006. ... bracket-size) upon noting that Ws2 (R, λ |R ) coincideswith the Besov space Bs22 (R, λ |R ) defined in [24] and upon -
notes.dvi
www.statslab.cam.ac.uk/~grg/papers/USrednotes.pdf15 Aug 2012: PERCOLATION ANDDISORDERED SYSTEMSGeorey GRIMMETT. 2PREFACEThis course aims to be a (nearly) self-contained account of part of the mathematicaltheory of percolation and related topics. The rst nine chapters summarise rigorousresults in percolation -
O.dvi
www.statslab.cam.ac.uk/~rrw1/opt1998/O.pdf9 May 2011: D: maximize L(λ) subject to λ Y,. 24. equivalently,. D: maximizeλY. {. -
J Theor Probab (2007) 20: 177–199DOI 10.1007/s10959-007-0058-1…
www.statslab.cam.ac.uk/~nickl/Site/__files/jotp2007.pdf23 Oct 2007: In Nickl [24] it is shown that these sufficient condi-tions are essentially sharp (at least in the unweighted case). ... 24]. [A similar result is true for the unit ball in Bspq (R. -
The Composition of the European Parliament
www.statslab.cam.ac.uk/~grg/papers/Composition2017-published.pdf25 Jun 2017: Belgium 11 289 853 282 962 419.7 24 455 719 21 3. ... Greece 10 793 526 273 297 419.03 24 447 895 21 3. -
rctree.dvi
www.statslab.cam.ac.uk/~grg/papers/USrctree.pdf15 Aug 2012: BRANCHING PROCESSES, AND. RANDOM-CLUSTER MEASURES ON TREES. Geoffrey Grimmett, Svante JansonAbstra t. Random-cluster measures on infinite regular trees are studied in con-junction with a general type of ‘boundary condition’, namely an -
Lectures on Schramm–Loewner Evolution N. Berestycki & J.R. Norris …
www.statslab.cam.ac.uk/~james/Lectures/sle.pdf14 Jan 2016: 245.3 Differentiability estimate. 24. 6 Capacity and half-plane capacity 266.1 Capacity from in H (?). 266.2 Half-plane capacity. 27. 7 Chordal Loewner theory I 297.1 Local ... WriteT = T(H) and define for θ [0,π]. a(θ) = Eeiθ(Im(BT )). 24. For z D, -
Global uniform risk bounds for wavelet deconvolution estimators
www.statslab.cam.ac.uk/~nickl/Site/__files/AOS836.pdf17 Feb 2011: 36], Delaigle and Gijbels [11], Hesseand Meister [24], Johnstone et al. -
Uniform limit theorems for wavelet density estimators
www.statslab.cam.ac.uk/~nickl/Site/__files/AOP447.pdf22 Jul 2009: where C2 M2τ ‖‖22‖p0‖. [The only difference is that in this case we use thevariance estimate σ 2 = 2j ‖p0‖‖‖22, which follows as in (24).]. ... ω2δm (φ). Using the last two estimates, (20), (24) and that |a/α b/β| α1|a b| -
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; -
Probab. Theory Relat. Fields (2012) 153:363–404DOI…
www.statslab.cam.ac.uk/~nickl/Site/__files/ptrf12.pdf1 Jun 2012: 24]. On Sd the differential operator L coincideswith the usual Laplace–Beltrami operator, and we have. ... As mentioned in (24) abovethis is tantamount to assuming a classical t -Hölder condition on f. -
meanf.dvi
www.statslab.cam.ac.uk/~grg/papers/USmeanf.pdf15 Aug 2012: THE RANDOM-CLUSTER MODEL. ON THE COMPLETE GRAPH. Béla Bollobás, Geoffrey Grimmett, Svante JansonAbstract. The random-cluster model of Fortuin and Kasteleyn contains as specialcases the percolation, Ising, and Potts models of statistical physics. -
Nonparametric Bernstein-von Mises theorems in Gaussian white noise
www.statslab.cam.ac.uk/~nickl/Site/__files/AOS1133.pdf28 Oct 2013: uniform central limit theorem in l(H) for such esti-mators; see Kiefer and Wolfowitz [24], Nickl [30], Giné and Nickl [21, 22]. -
On adaptive inference and confidence bands
www.statslab.cam.ac.uk/~nickl/Site/__files/AOS903.pdf10 Jan 2012: Following Li [24] the bandCn is called asymptotically honest with level α for a family of probability densitiesP if it satisfies the asymptotic coverage inequality.
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