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bsuslides.dvi
www.statslab.cam.ac.uk/~pat/bsuslides.pdf5 Feb 2013: 12 0 3.22Fitzwilliam 61 200 0 91 16 1 2.99Girton 61 222 0 124 21 0 2.90Gonville&Caius 105 189 3 105 16 0 3.17Jesus 72 212 -
Markov Chains These notes contain material prepared by colleagues ...
www.statslab.cam.ac.uk/~rrw1/markov/M.pdf22 May 2013: Markov Chains. These notes contain material prepared by colleagues who have also presented this courseat Cambridge, especially James Norris. The material mainly comes from books ofNorris, Grimmett & Stirzaker, Ross, Aldous & Fill, and Grinstead & -
Cluster detection in networks using percolation
www.statslab.cam.ac.uk/~grg/papers/BEJ412.pdf14 Mar 2013: We used 200 repli-cates. We again see that the risk curve is sharpest near criticality when the size of the anomalouscluster is sufficiently large, here for 50. -
Nonparametric Bernstein-von Mises theorems in Gaussian white noise
www.statslab.cam.ac.uk/~nickl/Site/__files/AOS1133.pdf28 Oct 2013: The Annals of Statistics2013, Vol. 41, No. 4, 1999–2028DOI: 10.1214/13-AOS1133 Institute of Mathematical Statistics, 2013. NONPARAMETRIC BERNSTEIN–VON MISES THEOREMS INGAUSSIAN WHITE NOISE. BY ISMAËL CASTILLO1 AND RICHARD NICKL. CNRS and -
INTRODUCTION TO R (or S-PLUS) FOR GENERALIZED LINEAR MODELLING ...
www.statslab.cam.ac.uk/~pat/wsheets.pdf2 Apr 2013: Cat 3.300 25.60Galago 0.200 5.00Genet 1.410 17.50. Giraffe 529.000 680.00Gorilla 207.000 406.00. ... So we compare with the normal distribution,mean 0, variance (π2/3). x = 1:200 ; x = x/200 ;y = log(x/(1-x));z = qnorm(x);z = z(pi/(3.5))#
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