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9 Jun 2016: Journal of Machine Learning Research? (?)? -? Submitted 11/13; Revised 3/16; Published? /? Modelling Interactions in High-dimensional Data withBacktracking. Rajen D. Shah r.shah@statslab.cam.ac.ukStatistical Laboratory. University of Cambridge.

15 Aug 2012: n,(c) if ti = tj , then (ti, zi) / (tj , zj ) in {ti} Zd, for 0 i < j n.

22 Jan 2024: f(t) =k. j=0. f(j)(0). j!tj. t0. f(k1)(s). k!(t s)kds. For j = 0,1,.

14 Nov 2013: Tutorial. Bandit Processes and Index Policies. Richard Weber, University of Cambridge. Young European Queueing Theorists (YEQT VII) workshop on. Scheduling and priorities in queueing systems,. Eindhoven, November 4–5–6, 2013. 1 / 52. 2 / 52. 3 /

1 May 2006: Tj (yj ) = yj D′j (yj ). Then µj is the generalized cost of using link j, definedas the sum of the toll and the delay, and λs is theminimum generalized cost

28 Aug 2007: 2/d , then, with v defined by. (4.8), and tj = νj1 {ν/k2(ν)}.

15 Aug 2012: t0,x0,. ,xr1, tr) for some r 0 with xi Z2{O}, ti T, and tj 6= R for. ... iii) r = s 1, xi = yi for i r 1, tj = uj for j r, ys O and us = R.

10 Oct 2013: Advanced Probability. Perla Sousi. December 17, 2011. Contents. 1 Conditional expectation 3. 1.1 Discrete case. 4. 1.2 Existence and uniqueness. 5. 1.3 Product measure and Fubini’s theorem. 11. 1.4 Examples of conditional expectation. 11. 1.4.1

14 Feb 2019: and (Xj )TXj = X. Tj (I Pj)Xj = ‖(I Pj)Xj‖2.

21 Apr 2010: tn, tj tn], where D4 = 12 μ2(K)f ′′(xj ) D1;. • ... tn = o(n1/6).Then. P(f̂h(x. tj ) < f̂h,τ. ) ( tf ′(xj ) D4n1/2h5/2{R(K)fτ 2D3,j D2}1/2).

27 Jan 2012: The outcome is a decomposition ofγ into an ordered set of bridges with vertical displacements written T0 > T1 > > Tj. ... Therefore,. Z(x) 2. Ti<<T1T0>>Tj. j. k=i. ζxTk = 2. T =1.

15 Mar 2016: Mathematics of Operational Research. Contents. Table of Contents i. Schedules v. 1 Lagrangian Methods 11.1 Lagrangian methods. 11.2 The Lagrange dual. 31.3 Supporting hyperplanes. 3. 2 Convex and Linear Optimization 62.1 Convexity and strong duality.

28 Jun 2024: TJ Cole, M Cortina-Borja, J Sandhu, FP Kelly, H Pan. – Biostatistics.

17 Sep 2015: for j 6= i. Prove that the random vectors Yj AjX are independent, and thatY (Y T1 ,. , Y TJ )T has a multivariate normal distribution.[ Hint: Random vectors are independent if

3 Jun 2024: and (Xj )TXj = X. Tj (I Pj)Xj = ‖(I Pj)Xj‖2.

14 Mar 2013: Patil and Taillie [42]argued that this can be done faster by using the tree structure of Qm, where the root is the entirenetwork Vm and a cluster K Km(tj ) ... is the parent of any cluster L Km(tj 1) such that L K ,where t1 < < tM denote the distinct

11 Mar 2020: RANDOM PLANAR GEOMETRY. JASON MILLER. Contents. Preface 1. 1. Introduction 1. 2. Plane trees 4. 3. The Brownian excursion 6. 4. Real trees and the Gromov-Hausdorff distance 7. 5. Convergence of discrete trees to the continuum random tree 10. 6.

17 Mar 2017: and the holding times are. T1 = Si1 (s Ji) and Tj = Sij, j 2,. ... Moreover, the times Tj for j 2 are independentand independent of Sk for k i, and hence independent of (Xr)rs.

17 Sep 2015: Find the probability-generating functions of the random variables Hj and Tj.

24 Mar 2010: Maximum likelihood estimation of a multidimensional log-concave density. Madeleine Cule and Richard Samworth†University of Cambridge, UK. and Michael StewartUniversity of Sydney, Australia. Summary. Let X1,. , Xn be independent and identically