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  2. New Frontiers in Random Geometry

    https://www.statslab.cam.ac.uk/~grg/rag.html
    23 Oct 2017: New Frontiers in Random Geometry (RaG). AnSeptember 2011 – August 2017. ... Cambridge Probability was awarded a Programme Grant (only the second such grant in mathematics) that funded the programme ‘New Frontiers in Random Geometry’ (RaG) for six
  3. CONFERENCE ON STATISTICAL FOUNDATIONS OF UNCERTAINTY QUANTIFICATION…

    https://www.statslab.cam.ac.uk/~nickl/Site/__files/june2.pdf
    16 Jun 2017: New Directions”10:15-10:45 coffee10:45-11:30; Omiros Papaspiliopolous (Barcelona), ”Markov chain Monte Carlo sampling for. ... 10:45-11:15 coffee11:15-12:00; Axel Munk (Göttingen), ”Nanoscale microscopy: A new challenge for uncertainty.
  4. Mathematical Tripos: Part IB DJS/Lent 2017 Statistics: Example Sheet…

    https://www.statslab.cam.ac.uk/Dept/People/djsteaching/ex-S1B-17-2.pdf
    21 Feb 2017: condition), where the ‘Old’treatment is a standard surgical operation, and the ‘New’ is ‘keyhole’ surgery. ... On thisbasis, which treatment would you prefer? Closer examination reveals that the treatments were not given at random, but
  5. 1 Statistics 1B Interludes 11. Expected frequencies What would ...

    https://www.statslab.cam.ac.uk/Dept/People/djsteaching/interlude-11-expected-frequencies.pdf
    28 Feb 2017: Expected frequency trees’ now in GCSE Maths syllabus:. 2. New UK Cancer Screening leaflets, 2013.
  6. RaGe Conference 2017 − abstracts David Cimasoni (Geneva) Graphs ...

    https://www.statslab.cam.ac.uk/~grg/RaGe-abstracts-3.pdf
    8 Jul 2017: the spanning tree or dimer model), this fact implies a number of results, some known, others new.
  7. Mathematical Tripos: Part IB DJS/Lent 2017 Statistics: Example Sheet…

    https://www.statslab.cam.ac.uk/Dept/People/djsteaching/ex-S1B-17-1.pdf
    17 Jan 2017: Find an injective function h on (0,) such that, writ-ing ψ = h(θ), the maximum likelihood estimator ψ̂ of the new parameter ψ isunbiased.
  8. 3. Lecture 4. Maximum Likelihood Estimation Lecture 4. Maximum ...

    https://www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-04-max-like.pdf
    30 Jan 2017: The likelihood for k is (considered sequentially). like(k ) = Pk (1st is a new colour) Pk (2nd is a new colour)Pk (3rd matches 1st) Pk (4th is a new colour). =
  9. 3. Lecture 4. Maximum Likelihood Estimation Lecture 4. Maximum ...

    https://www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-04-max-like-4.pdf
    30 Jan 2017: The likelihood for k is (considered sequentially). like(k ) = Pk (1st is a new colour) Pk (2nd is a new colour)Pk (3rd matches 1st) Pk (4th is a new colour). =
  10. A 700-SEAT NO-LOSS COMPOSITIONFOR THE 2019 EUROPEAN PARLIAMENT G. ...

    https://www.statslab.cam.ac.uk/~grg/papers/noloss2.pdf
    25 Sep 2017: A more focussed question is the following. Is it possible to modify any of theproposed methods, or to devise a new method, so that the following criteria are met:. ... Criteria (1) and (2) raise the lower limit 6 to the new limit that is exhibitedin the
  11. The fundamental theorem of linear programming Michael Tehranchi June…

    https://www.statslab.cam.ac.uk/~mike/optimisation/linearprogram.pdf
    8 Jun 2017: Create a new vector x Rh by. xi =. {ξs if i = is B0 otherwise.
  12. 5. Lecture 6. Bayesian estimation Lecture 6. Bayesian estimation ...

    https://www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-06-bayesian.pdf
    6 Feb 2017: Example 6.1. Suppose we are interested in the true mortality risk θ in a hospital H which isabout to try a new operation.
  13. NEW FRONTIERS IN RANDOM GEOMETRY (RaG)EP/I03372X/1 REPORT 1/7/16 – ...

    https://www.statslab.cam.ac.uk/~grg/rag-reports/report2017.pdf
    23 Oct 2017: Li, https://arxiv. org/abs/1309.0151.42. Coalescing Brownian flows: a new approach, N. Berestycki, C. ... Summary of appointments.No new appointments have been made this year. Marcin Lis will.
  14. 13. Lecture 14. Applications of the distribution theory Lecture ...

    https://www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-14-normal-applications.pdf
    6 Mar 2017: Expected response at x. Expected response at x. Let x be a new vector of values for the explanatory variables. ... Suppose we wish to estimate the expected resistivity of a new wafer in thefirst instrument.
  15. 9. Lecture 10. Tests of homogeneity, and connections toconfidence ...

    https://www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-10-homogeneity-CIs.pdf
    20 Feb 2017: Twogroups were given a new drug at different dosage levels, and the third groupreceived a placebo.
  16. 8. Lecture 9. Tests of goodness-of-fit and independence Lecture ...

    https://www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-09-fit-independence.pdf
    20 Feb 2017: Small 18 51 81 150124 186 190 500. New careij Large Medium Small. ... H0, so we conclude that the new and present car sizes are notindependent.
  17. 5. Lecture 6. Bayesian estimation Lecture 6. Bayesian estimation ...

    https://www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-06-bayesian-4.pdf
    6 Feb 2017: Example 6.1. Suppose we are interested in the true mortality risk θ in a hospital H which isabout to try a new operation.
  18. 13. Lecture 14. Applications of the distribution theory Lecture ...

    https://www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-14-normal-applications-4.pdf
    6 Mar 2017: Expected response at x. Expected response at x. Let x be a new vector of values for the explanatory variables. ... Suppose we wish to estimate the expected resistivity of a new wafer in thefirst instrument.
  19. 9. Lecture 10. Tests of homogeneity, and connections toconfidence ...

    https://www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-10-homogeneity-CIs-4.pdf
    20 Feb 2017: Twogroups were given a new drug at different dosage levels, and the third groupreceived a placebo.
  20. 8. Lecture 9. Tests of goodness-of-fit and independence Lecture ...

    https://www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-09-fit-independence-4.pdf
    20 Feb 2017: Small 18 51 81 150124 186 190 500. New careij Large Medium Small. ... H0, so we conclude that the new and present car sizes are notindependent.
  21. ON BAYESIAN INFERENCE FOR SOME STATISTICAL INVERSEPROBLEMS WITH…

    https://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. ... Ghosal, S., and van der Vaart, A. W. (2017), Fun-damentals of Nonparametric Bayesian Inference.Cambridge University Press, New York.
  22. Quenched exit times for random walk on dynamical percolation ...

    https://www.statslab.cam.ac.uk/~ps422/quenched-all-regimes.pdf
    15 Aug 2017: ϕ(ζ,S) := Eζ[ϕpη1 (S). ]. 5. Notice that in the previous expression we average over the new environment η1, i.e. ... This is the setup of Remark 2.2. For this new chain the statement of Lemma 3.2 remains the same with an extra factor of 1/2 inthe
  23. 0. Statistics 1B Statistics 1B 1 (1–1) 0. Lecture ...

    https://www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-01-intro-prob.pdf
    18 Jan 2017: What is the effect of obesity on life expectancy? [Epidemiology]. What is the average benefit of a new cancer therapy?
  24. Connective constants and height functions for Cayley graphs

    https://www.statslab.cam.ac.uk/~grg/papers/tran7166.pdf
    18 Aug 2017: Let t Γ have infinite order. We consider in this section the effectof adding a new relator tm, in the limit as m. ... Proof. The coefficient matrix Cm of Gm differs from C1 only in the multiplicity ofthe row corresponding to the new relator, and
  25. 0. Statistics 1B Statistics 1B 1 (1–1) 0. Lecture ...

    https://www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-01-intro-prob-4.pdf
    17 Jan 2017: What is the effect of obesity on life expectancy? [Epidemiology]. What is the average benefit of a new cancer therapy?
  26. SELF-AVOIDING WALKS AND AMENABILITY GEOFFREY R. GRIMMETT AND…

    https://www.statslab.cam.ac.uk/~grg/papers/new10.pdf
    3 Jul 2017: New methods are neededsince a Cayley graph generally possesses automorphisms beyond those arisingthrough the action of the group.
  27. Strong law of large numbers for the capacity of ...

    https://www.statslab.cam.ac.uk/~ps422/wiener7.pdf
    22 Dec 2017: The main difference concerns thecomputation of the expected capacity, which in the discrete setting had been essentially obtainedby Lawler, see [4] for details, whereas in our context it requires new delicate ... 14. 3.3 Proofs of Lemma 3.3, 3.4, 3.5 and
  28. Mixing time for random walk on supercritical dynamical percolation ...

    https://www.statslab.cam.ac.uk/~ps422/supercritical-draft.pdf
    15 Aug 2017: Mixing time for random walk on supercritical dynamical percolation. Yuval Peres Perla Sousi† Jeffrey E. Steif‡. July 24, 2017. Abstract. We consider dynamical percolation on the d-dimensional discrete torus of side length n, Zdn,where each edge
  29. Applied Probability Nathanaël Berestycki and Perla Sousi∗ March 6,…

    https://www.statslab.cam.ac.uk/~ps422/notes-new.pdf
    17 Mar 2017: Applied Probability. Nathanaël Berestycki and Perla Sousi. March 6, 2017. Contents. 1 Basic aspects of continuous time Markov chains 3. 1.1 Markov property. 3. 1.2 Regular jump chain. 4. 1.3 Holding times. 6. 1.4 Poisson process. 6. 1.5 Birth
  30. The Composition of the European Parliament

    https://www.statslab.cam.ac.uk/~grg/papers/Composition2017-published.pdf
    25 Jun 2017: IN-DEPTH ANALYSIS. for the AFCO Committee. The Com position of. the European. Parliament. European Parliament. Directorate General for Internal Policies of the Union. Policy Department for Citizens' Rights and Constitutional Affairs PE583.117-
  31. CRITICAL SURFACE OF THE 1-2 MODEL GEOFFREY R. GRIMMETT ...

    https://www.statslab.cam.ac.uk/~grg/papers/12-final-revised.pdf
    17 Feb 2017: In Section 6, we gather some conclusions about infinite-volume free energy andinfinite-volume measures that are new for the 1-2 model.

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