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  2. Probability

    www.statslab.cam.ac.uk/~rrw1/prob/index.html
    14 Jan 2015: 23.3 Estimating $pi$ with Buffon's needle. 24 Continuing studies in probability. ... 24.1 Large deviations. 24.2 Chernoff bound. 24.3 Random matrices. 24.4 Concluding remarks.
  3. 24 Apr 2015: Applied Probability Trust (24 April 2015). INFLUENCE IN PRODUCT SPACES. GEOFFREY R.
  4. Layout 1

    www.statslab.cam.ac.uk/~rjs57/Eagle_final.pdf
    13 Jan 2015: For a statistician, this is a straightforward problem to solve,yielding estimates â = 1.24 and b̂ = 0.09 of a and b respectively, and the fittedcurve displayed in Figure
  5. Mathematics of Operational Research

    www.statslab.cam.ac.uk/~rrw1/mor/index.html
    14 Oct 2015: PAGES. RESOURCES. This is the home page for a course of 24 lectures to Cambridge MMath/MASt (Part III) students.
  6. 8 Jun 2015: 24). The method of Theorem 2 may be applied to this lin-earized system, and we find that local stability of (23-24) isimplied by ‖R(iθ)†R(iθ)‖ < 1 where. ... Proc. IFAC WorldCongress, Barcelona, Spain 2002. [24] G. Vinnicombe. Robust congestion
  7. STATISTICAL MODELLING Part IICPractical 3: Linear regression using R…

    www.statslab.cam.ac.uk/~rds37/teaching/statistical_modelling/Practical3.pdf
    6 Feb 2015: x <- c(rnorm(24), 4). > y <- 1 x rnorm(25). >
  8. Intersection and mixing times for reversible chains Yuval Peres∗ ...

    www.statslab.cam.ac.uk/~ps422/intersection-mixing.pdf
    7 Jan 2015: Pπ,π(τI t) 27 C2Q. C2Q (1 2e. )Q. If we take C so that C2 = (12/e)/28 and we choose C1 = (12/e)1/2 24, then from
  9. Liouville quantum gravity and the Brownian map

    www.statslab.cam.ac.uk/~jpm205/slides/lqg_tbm_equivalence_oxford_2015.pdf
    24 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.
  10. Stochastic Calculus Michael R. Tehranchi Contents Chapter 1. A ...

    www.statslab.cam.ac.uk/~mike/StoCal/notes.pdf
    19 May 2015: 24. CHAPTER 3. Stochastic integration. 1. Overview. The goal of this chapter is to construct the stochastic integral.
  11. NEW FRONTIERS IN RANDOM GEOMETRY (RaG) EP/103372X/1 REPORT 1/7/12 ...

    www.statslab.cam.ac.uk/~grg/rag-reports/report2013.pdf
    28 Jul 2015: A meeting of the AB took place on 24 August 2012.

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