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  2. New Frontiers in Random Geometry

    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…

    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…

    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. RaGe Conference 2017 − abstracts David Cimasoni (Geneva) Graphs ...

    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.
  6. 1 Statistics 1B Interludes 11. Expected frequencies What would ...

    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.
  7. Mathematical Tripos: Part IB DJS/Lent 2017 Statistics: Example Sheet…

    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 ...

    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 ...

    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. 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…

    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.

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