Search
Search Funnelback University
- Refined by:
- Date: 2013
1 -
10 of
12
search results for b&b |u:www.statslab.cam.ac.uk
Fully-matching results
-
Discussion of Large Covariance Estimation by Thresholding Principal…
https://www.statslab.cam.ac.uk/~rjs57/YuSamworthDisc.pdf3 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(B′B) = K,but the estimator is. -
Dimension of Fractional Brownian motion with variable drift Yuval ...
https://www.statslab.cam.ac.uk/~ps422/dim-graph-image.pdf30 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. -
Universality for bond percolation in two dimensions
https://www.statslab.cam.ac.uk/~grg/papers/AOP740.pdf12 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. -
QLE Jason Miller and Scott Sheffield MIT August 1, ...
https://www.statslab.cam.ac.uk/~jpm205/slides/qleslides.pdf1 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. -
Markov Chains These notes contain material prepared by colleagues ...
https://www.statslab.cam.ac.uk/~rrw1/markov/M.pdf22 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,. , -
Nonparametric Bernstein-von Mises theorems in Gaussian white noise
https://www.statslab.cam.ac.uk/~nickl/Site/__files/AOS1133.pdf28 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 -
WIAS2013.dvi
https://www.statslab.cam.ac.uk/~rjs57/WIAS2013.pdf3 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. -
Cluster detection in networks using percolation
https://www.statslab.cam.ac.uk/~grg/papers/BEJ412.pdf14 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. -
Uniformity of the late points of random walk on Znd for d 3
https://www.statslab.cam.ac.uk/~ps422/rwunif2.pdf12 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. -
Optimization and Control Contents Table of Contents i Schedules ...
https://www.statslab.cam.ac.uk/~rrw1/oc/oc2013.pdf22 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.
Search history
Recently clicked results
Recently clicked results
Your click history is empty.
Recent searches
Recent searches
Your search history is empty.