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  2. 11. Lecture 12. The linear model Lecture 12. The ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-12-linear.pdf
    7 Mar 2017: Simple linear regression. Example 12.1. For each of 24 males, the maximum volume of oxygen uptake in the blood andthe time taken to run 2 miles (in minutes) were measured. ... 24,. where εi are independent random variables with variance σ2, and a and b
  3. interlude-1-celebrities

    www.statslab.cam.ac.uk/Dept/People/djsteaching/interlude-1-celebrities.pdf
    20 Jan 2017: Within 1 week 24 6 12. Within 2 weeks 13 4 9.
  4. 11. Lecture 12. The linear model Lecture 12. The ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-12-linear-4.pdf
    28 Feb 2017: Simple linear regression. Example 12.1. For each of 24 males, the maximum volume of oxygen uptake in the blood andthe time taken to run 2 miles (in minutes) were measured. ... 24,. where εi are independent random variables with variance σ2, and a and b
  5. 9. Lecture 10. Tests of homogeneity, and connections toconfidence ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-10-homogeneity-CIs.pdf
    20 Feb 2017: Medicine 416 99 24% 578 140 24%Veterinary medicine 338 53 16% 180 22 12%. ... Total 1184 274 23 % 2470 584 24%. In all subjects, the acceptance rate was higher for women!
  6. 9. Lecture 10. Tests of homogeneity, and connections toconfidence ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-10-homogeneity-CIs-4.pdf
    20 Feb 2017: Medicine 416 99 24% 578 140 24%Veterinary medicine 338 53 16% 180 22 12%. ... Total 1184 274 23 % 2470 584 24%. In all subjects, the acceptance rate was higher for women!
  7. 12. Lecture 13. Linear models with normal assumptions Lecture ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-13-normal-linear.pdf
    10 Mar 2017: σ̃2 =RSS. n p=. 67968. (24 2)= 3089. Residual standard error is σ̃ =. 3089 = 55.6 on 22 degrees of freedom. Lecture 13. Linear models with normal assumptions 13 (1–1).
  8. 13. Lecture 14. Applications of the distribution theory Lecture ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-14-normal-applications.pdf
    6 Mar 2017: 13. Lecture 14. Applications of the distribution theory. Lecture 14. Applications of the distribution theory 1 (1–75). 14. Applications of the distribution theory 14.1. Inference for β. Inference for β. We know that β̂ Np(β,σ2(XT X )1), and
  9. 12. Lecture 13. Linear models with normal assumptions Lecture ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-13-normal-linear-4.pdf
    28 Feb 2017: σ̃2 =RSS. n p =67968. (24 2) = 3089. Residual standard error is σ̃ =. 3089 = 55.6 on 22 degrees of freedom. Lecture 13. Linear models with normal assumptions 13 (1–1).
  10. 13. Lecture 14. Applications of the distribution theory Lecture ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-14-normal-applications-4.pdf
    6 Mar 2017: 13. Lecture 14. Applications of the distribution theory. Lecture 14. Applications of the distribution theory 1 (1–75). 14. Applications of the distribution theory 14.1. Inference for β. Inference for β. We know that β̂ Np(β,σ2(XT X )1), and
  11. Quenched exit times for random walk on dynamical percolation ...

    www.statslab.cam.ac.uk/~ps422/quenched-all-regimes.pdf
    15 Aug 2017: Steif‡. July 24, 2017. Abstract. We consider random walk on dynamical percolation on the discrete torus Zdn. ... χ (Px,η(Yn = ) ,π) Êx,η[Zn]. Proof. In the homogeneous case this is [?, equation (24)].
  12. The 1-2 model

    www.statslab.cam.ac.uk/~grg/papers/conm14020.pdf
    18 Aug 2017: lattice. This last problemmay be solved using the Pfaffian representation of Kasteleyn [15], Fisher [5], andTemperley and Fisher [24]. ... Inform.Theory 54 (2008), no. 5, 2179–2195, DOI 10.1109/TIT.2008.920245. MR2450856. [24] H.
  13. ON BAYESIAN INFERENCE FOR SOME STATISTICAL INVERSEPROBLEMS WITH…

    www.statslab.cam.ac.uk/~nickl/Site/__files/bnews.pdf
    6 Nov 2017: This letter (Bernoulli News, Vol. 24 (2), 2017) summarizes key ideas from the Ethel Newboldprize lecture.
  14. NEW FRONTIERS IN RANDOM GEOMETRY (RaG)EP/I03372X/1 REPORT 1/7/16 – ...

    www.statslab.cam.ac.uk/~grg/rag-reports/report2017.pdf
    23 Oct 2017: de l’Instit. Henri Poincaré D. 24. Connective constants and height functions of Cayley graphs, Ge-offrey Grimmett and Zhongyang Li, Transactions of the AMS 369(2017) 5961–5980. ... Berestycki, V. Limic, Annals of AppliedProbability 24 (2014)
  15. SELF-AVOIDING WALKS AND AMENABILITY GEOFFREY R. GRIMMETT AND…

    www.statslab.cam.ac.uk/~grg/papers/new10.pdf
    3 Jul 2017: 23–38.[24] J. M. Hammersley and D. J. A. Welsh, Further results on the rate of convergence to the. ... 5,. 2002, available at http://arxiv.org/abs/math/0212142. 24 GEOFFREY R. GRIMMETT AND ZHONGYANG LI.
  16. 0. Statistics 1B Statistics 1B 1 (1–1) 0. Lecture ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-01-intro-prob.pdf
    18 Jan 2017: barplot( dbinom(0:10, 10, 1/6), names.arg=0:10,. xlab="Number of sixes in 10 throws" ). Lecture 1. Introduction and probability review 24 (1–1). 1. Introduction and probability
  17. 0. Statistics 1B Statistics 1B 1 (1–1) 0. Lecture ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-01-intro-prob-4.pdf
    17 Jan 2017: barplot( dbinom(0:10, 10, 1/6), names.arg=0:10,. xlab="Number of sixes in 10 throws" ). Lecture 1. Introduction and probability review 24 (1–1). 1. Introduction and probability
  18. Convergence of the SAW on random quadrangulations to SLE8/3 on…

    www.statslab.cam.ac.uk/~jpm205/slides/saw_convergence_paris_january_2017.pdf
    22 Jan 2017: Jason Miller (Cambridge) Convergence of the SAW on ’s to SLE(8/3) January 24, 2017 6 / 26. ... Jason Miller (Cambridge) Convergence of the SAW on ’s to SLE(8/3) January 24, 2017 7 / 26.
  19. Strong law of large numbers for the capacity of ...

    www.statslab.cam.ac.uk/~ps422/wiener7.pdf
    22 Dec 2017: Then using again that ‖βs β(τδi )‖ δ, for all s [τδi ,τδi1], and (3.24) we get for all δ 1,. ... 24. We consider two independent Brownian motions (βt, t 0) and (β̃t, t 0) starting respectivelyfrom 0 and z, and denote their corresponding
  20. Connective constants and height functions for Cayley graphs

    www.statslab.cam.ac.uk/~grg/papers/tran7166.pdf
    18 Aug 2017: Such harmonic functions do not appear to contribute to thediscussion of the Liouville property (see, for example, [24, Defn 2.1.10]), since boththeir positive and negative parts are unbounded.
  21. BriefingPukelsheimGrimmettFinalVersion-4

    www.statslab.cam.ac.uk/~grg/papers/BriefingPukelsheimGrimmettFinalVersion-4.pdf
    10 Feb 2017: Netherlands 17 235 349 392 421 427.3 32 531 580 26 6 Belgium 11 289 853 282 962 419.7 24 455 719 21 3 Greece 10 793 526 273 ... 297 419.03 24 447 895 21 3 Czech Republic 10 445 783 266 466 418.6 23 442 225 21 2 Portugal 10 341 330 264 404 418.4 23
  22. CRITICAL SURFACE OF THE 1-2 MODEL GEOFFREY R. GRIMMETT ...

    www.statslab.cam.ac.uk/~grg/papers/12-final-revised.pdf
    17 Feb 2017: 24 GEOFFREY R. GRIMMETT AND ZHONGYANG LI. To H we assign a clockwise odd orientation as in Figure 5.3: the figure shows aclockwise odd orientation of H1,, embedded in a ... 7] and [24]. We now construct the modified Kasteleyn matrix K1(z,w) of H1, by
  23. Mixing time for random walk on supercritical dynamical percolation ...

    www.statslab.cam.ac.uk/~ps422/supercritical-draft.pdf
    15 Aug 2017: Steif‡. July 24, 2017. Abstract. We consider dynamical percolation on the d-dimensional discrete torus of side length n, Zdn,where each edge refreshes its status at rate µ = µn
  24. 17 Mar 2017: those that jump to a cemetery state after explosion. Proof of Theorem 1.24. ... P ′(t) = P(t)Q and P(0) = I. Proof. The equivalence between (a) and (c) follows from Theorem 1.24.
  25. The Composition of the European Parliament

    www.statslab.cam.ac.uk/~grg/papers/Composition2017-published.pdf
    25 Jun 2017: Belgium 11 289 853 282 962 419.7 24 455 719 21 3. ... Greece 10 793 526 273 297 419.03 24 447 895 21 3.
  26. 8 Apr 2017: Goodness of fit tests for high-dimensional linear models. Rajen D. Shah. University of CambridgePeter BühlmannETH Zürich. April 8, 2017. Abstract. In this work we propose a framework for constructing goodness of fit tests in both lowand
  27. Convergence of percolation on random quadrangulations

    www.statslab.cam.ac.uk/~jpm205/slides/percolation_convergence_oxford_may_2017.pdf
    1 Jun 2017: Jason Miller (Cambridge) Convergence of percolation on random s May 22, 2017 24 / 28.

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