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Statistics
www.statslab.cam.ac.uk/~rrw1/stats/index.html31 Jul 2013: One in 750,000? One in 20,000? One in 15,000,000? Wikipedai entriies of some famous statisticians: Bayes (Bayesian inference), Gosset (Student's t-distribution), Neyman (Neyman-Pearson test), -
Discussion of Large Covariance Estimation by Thresholding Principal…
www.statslab.cam.ac.uk/~rjs57/YuSamworthDisc.pdf3 Sep 2013: Econo-metrica, 70, 191–221. 2. 800000. 1200000. 1600000. 5 10 15 20. ... 1500. 1600. 1700. (c). 8.0e07. 1.2e08. 1.6e08. 5 10 15 20. -
Self-avoiding walksand the Fisher transformation Geoffrey Grimmett…
www.statslab.cam.ac.uk/~grg/papers/fisher5.pdf11 Sep 2013: C1,kL(n)nγ1µnk 6 σn,k 6 C2,kL(n)n. γ1µnk, k = 1, 2. (20). ... We shall in fact use slightly less than this.Similarly to the proof of (17), by (19)–(20), there exists C1 < such that. -
Mixing times are hitting times of large sets Yuval ...
www.statslab.cam.ac.uk/~ps422/mix-hit.pdf25 Apr 2013: Since tcts tL (see [6, Theorem 20.3]), Theorem 1.4gives a partial answer to that problem. ... V. Chacon. Stopping times for recurrent Markov processes. Illinois J.Math., 20(3):467–475, 1976. -
QLE Jason Miller and Scott Sheffield MIT August 1, ...
www.statslab.cam.ac.uk/~jpm205/slides/qleslides.pdf1 Aug 2013: Jason Miller and Scott Sheffield (MIT) QLE August 1, 2013 20 / 37. -
Nonparametric Bernstein-von Mises theorems in Gaussian white noise
www.statslab.cam.ac.uk/~nickl/Site/__files/AOS1133.pdf28 Oct 2013: Consider a functional satisfying (20). Assume more-over either that is linear, or that for some sequence rn = o(n1/2),. ... θ0,lk /σl 1. (nσlu nσl θ0,lk. σl. )2ϕ(u) du. 2nσ 2l[θ 20,lk. -
Richard Weber's Publications
www.statslab.cam.ac.uk/~rrw1/publications/papers.html8 Nov 2013: C. Courcoubetis and R. R. Weber, Economic issues in shared infrastructures, IEEE/ACM Transactions on Networking, 20: 594-608, 2012. -
WIAS2013.dvi
www.statslab.cam.ac.uk/~rjs57/WIAS2013.pdf3 Feb 2013: E|f̃n(x0) f(x0)|. c(d){ det(2φ0(x0)). f(x0)2. }1/(d4). February 3, 2013- 20. R. ... 0.00. 0.10. 0.20. 0.30. s. Mar. gina. l Den. sitie. s. -
BOUNDS ON CONNECTIVE CONSTANTSOF REGULAR GRAPHS GEOFFREY R. GRIMMETT…
www.statslab.cam.ac.uk/~grg/papers/saw2-final2.pdf26 Aug 2013: Part (a) may be found also in [20, Lemma 2.1], which appearedduring the writing of this paper. ... 20] H. Lacoin, Non-coincidence of quenched and annealed connective constants onthe supercritical planar percolation cluster, Probab. -
Uniformity of the late points of random walk on Znd for d 3
www.statslab.cam.ac.uk/~ps422/rwunif2.pdf12 Sep 2013: nψ exp(cδ2nβ(d2)ψ. ) ecn. ψ. (2.20). For the second probability on the right side of (2.18), we apply Lemma 2.4 to obtain for allδ (0, ... 1 pd)rd2. (1 O. ( rR. ) O. (1. r2. )). (3.2). 20 JASON MILLER AND PERLA SOUSI. Proof. By Bayes’ formula we -
PERCOLATION OF FINITE CLUSTERSAND INFINITE SURFACES GEOFFREY R.…
www.statslab.cam.ac.uk/~grg/papers/plaq-final.pdf7 Mar 2013: n. Then pFc < pSfin(F ). Proof of Theorem 1.1. When d 19 and S = F = 0, (4.3) is proved in[20]. ... 20] G. Kozma and A. Nachmias, Arm exponents in high dimensional percolation,J. -
Markov Chains These notes contain material prepared by colleagues ...
www.statslab.cam.ac.uk/~rrw1/markov/M.pdf22 May 2013: 20. 6 Random walks in dimensions one, two and three. 6.1 Simple random walk on Z. -
Advanced Probability Perla Sousi∗ December 17, 2011 Contents 1 ...
www.statslab.cam.ac.uk/~ps422/notes-2011.pdf10 Oct 2013: 20. 2.7 Uniformly integrable martingales. 21. 2.8 Backwards martingales. 23. 2.9 Applications of martingales. ... Xn‖p p. p 1‖Xn‖p,. 20. where recall that Xn = supkn |Xk|. -
Universality for bond percolation in two dimensions
www.statslab.cam.ac.uk/~grg/papers/AOP740.pdf12 Sep 2013: A different extension of the star–triangle method has been the subject of workdescribed in [2, 19, 20]. -
Tutorial Bandit Processes and Index Policies Richard Weber,…
www.statslab.cam.ac.uk/~rrw1/talks/YETQweber2013.pdf14 Nov 2013: 20 / 52. Some constraints. Let xπi = Eπ(Ni)/µi be the mean work-in-system of class i. ... 20 / 52. A mathematical program. Consider the optimization problem. minimizeπ. -
Cluster detection in networks using percolation
www.statslab.cam.ac.uk/~grg/papers/BEJ412.pdf14 Mar 2013: Remember thatσ 20 denotes the variance of F0. Cluster detection in networks using percolation 681. ... Let θ (β) = inft γθ |t (β)/σ 20|t , where, in congruence with Sections 5.1 and 5.2,. -
A More General Pandora’s Rule Richard Weber, University of ...
www.statslab.cam.ac.uk/~rrw1/talks/LSEseminar13113.pdf14 Nov 2013: Is a generalization of Pandora rule evaporating? 20/57 ,. Yet even more necessity! ... Is a generalization of Pandora rule evaporating? 20/57 ,. Sufficiency. Theorem 1 Suppose u has the form described as necessary, i.e. -
Inhomogeneous bond percolation on square, triangular and hexagonal…
www.statslab.cam.ac.uk/~grg/papers/AOP729.pdf3 Jul 2013: Furthermore, work ofKesten [20] on scaling theory has provided the groundwork for exact calculationsof critical exponents for two-dimensional percolation (see [23, 29], e.g.). -
Noname manuscript No.(will be inserted by the editor) Bond ...
www.statslab.cam.ac.uk/~grg/papers/iso-final6.pdf21 May 2013: This is a continuation and extension of the work begun in [19,20]. ... substance. Therefore, further discussion is omitted, andthe reader is referred instead to [20, Sect. -
Optimization and Control Contents Table of Contents i Schedules ...
www.statslab.cam.ac.uk/~rrw1/oc/oc2013.pdf22 May 2013: 19. 5.5 Example: optimal parking. 20. i. 6 Optimal Stopping Problems 21. ... 20. 6 Optimal Stopping Problems. More on stopping problems and their solution.
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