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  2. Discussion of Large Covariance Estimation by Thresholding Principal…

    www.statslab.cam.ac.uk/~rjs57/YuSamworthDisc.pdf
    3 Sep 2013: 1. Table 1: For the same u and µB as in Section 6.2, define µ̃′B = (µ. ... To examine the effect of missing the Kth common factor, assume (2.1) and that rank(BB) = K,but the estimator is.
  3. Dimension of Fractional Brownian motion with variable drift Yuval ...

    www.statslab.cam.ac.uk/~ps422/dim-graph-image.pdf
    30 Oct 2013: B A B A. B. B. Figure 1: The patterns A and B used in each iteration. ... Ifthe label of Rj is B, then to the rectangles that we kept we assign labels B,B,A,B,A,B againgoing from left to right.
  4. Universality for bond percolation in two dimensions

    www.statslab.cam.ac.uk/~grg/papers/AOP740.pdf
    12 Sep 2013: joining some a A and some b B using only edges thatintersect R. ... and. β = β(G, P) = min{b, b}.(3.6)The pair (G, P) [resp., (G, P)] is said to have the box-crossing property if.
  5. QLE Jason Miller and Scott Sheffield MIT August 1, ...

    www.statslab.cam.ac.uk/~jpm205/slides/qleslides.pdf
    1 Aug 2013: b. a. η. D. The parameter κ roughly indicates how “windy” the path is. ... Conformal Markov property of SLE. b. a. η. D. φ. D̃ φ η.
  6. 22 May 2013: XT. Proof (not examinable). If B is an event determined by X0, X1,. , ... XT n = jn} B {T = m} {XT = i})= Pi({X0 = j0, X1 = j1,. ,
  7. Nonparametric Bernstein-von Mises theorems in Gaussian white noise

    www.statslab.cam.ac.uk/~nickl/Site/__files/AOS1133.pdf
    28 Oct 2013: For statistical applicationsof the Bernstein–von Mises phenomenon, one typically needs some uniformityin B, and this is where total variation results would be particularly useful. ... Denote by B(g, r) ={f H : ‖f g‖H r} the norm ball in H of radius
  8. WIAS2013.dvi

    www.statslab.cam.ac.uk/~rjs57/WIAS2013.pdf
    3 Feb 2013: and Schuhmacher (2011). Let P Pd, let f = ψ(P) and let P(B) =. B f. Then. Rd. xdP(x) =. Rd. xdP(x). and. Rd. hdP. ... P(B) =. d. j=1. Pj(wT. j B) =. d. j=1. P̃j(w̃T.
  9. Cluster detection in networks using percolation

    www.statslab.cam.ac.uk/~grg/papers/BEJ412.pdf
    14 Mar 2013: Proposition 1. Assume that F0 AEP(b, C) for some b > 1 and C > 0. ... Proposition 2. Assume that F0 AEP(b, C) for some b (1, 2) and C > 0.
  10. Uniformity of the late points of random walk on Znd for d 3

    www.statslab.cam.ac.uk/~ps422/rwunif2.pdf
    12 Sep 2013: We first show. P. (Ai=1. Wi < B. ). Necδ. 2nβ(d2)ψ ecN. ... τy) the first hitting time of x (resp. y).Then for all a B(x,r) and all b B(x,R) then we have.
  11. 22 May 2013: P(xt1 | Xt, Ut) = P(xt1 | xt, ut). (b) Separable (or decomposable) cost function, (i.e. ... s. In the discounted case, with |c(x, u)| < B, imagine subtracting B > 0 fromevery cost.

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