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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

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.

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)

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.

6 Nov 2017: This letter (Bernoulli News, Vol. 24 (2), 2017) summarizes key ideas from the Ethel Newboldprize lecture.

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

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 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

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

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