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Statistical Laboratory, 1969
www.statslab.cam.ac.uk/files/Statistical%20Laboratory%20Photos/1960-1969/pic69.html21 Oct 2020: J.C.Gittins R.M.Loynes D.Mollison B.J.T.Morgan R.Morgan F.Papangelou M.J.Prentice R.Sibson S.R.Watson D.Williams. -
RANDOM PLANAR GEOMETRY, LENT 2020, EXAMPLE SHEET 1 Please ...
www.statslab.cam.ac.uk/~jpm205/teaching/lent2020/example_sheet1.pdf4 Feb 2020: Problem 2. Suppose that τ is a Galton-Watson tree with Geometric(1/2) offspring distribution,viewed as a plane tree. -
Harry Kesten (1931–2019) A personal and scientific tribute Geoffrey…
www.statslab.cam.ac.uk/~grg/papers/kesten-ams3-small.pdf20 Mar 2020: to the discretecase. Branching processes. The branching process (sometimes called the Galton–Watson process) is arguably the most fundamentalstochastic model for population growth. ... Stigum, A limit theorem for multidi-mensional Galton–Watson -
Statistical Laboratory, 1970
www.statslab.cam.ac.uk/files/Statistical%20Laboratory%20Photos/1970-1979/pic70.html21 Oct 2020: Gordon. A.W.F.Edwards J.L.Teugels S.R.Watson D.M.Titterington M.Elion R.L.Tweedie J.A.Lambert S.Chinn S.M.Leonard W.J.Anderson. -
Mathematical Foundations of Infinite-Dimensional Statistical Models
www.statslab.cam.ac.uk/~nickl/Site/__files/FULLPDF.pdf25 Feb 2020: Mathematical Foundations of Infinite-DimensionalStatistical Models. In nonparametric and high-dimensional statistical models, the classical Gauss–Fisher–Le Cam theory of the optimality of maximum likelihood and Bayesianposterior inference does -
Abstract We survey the published work of Harry Kesten ...
www.statslab.cam.ac.uk/~grg/papers/kesten-ptrf-final.pdf13 Nov 2020: Harry Kesten’s work in probability theory 19. 6 Branching processes. The branching process (or, as Harry liked in later years to write, the Bienaymé–Galton–Watson process) is the most
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