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  2. Critical behaviour in charging of electric vehicles

    www.statslab.cam.ac.uk/~frank/PAPERS/cbcev.html
    30 Apr 2020: New J. Phys. 17 (2015) 095001.
  3. Discussion of Random Projection Ensemble Classificationby Timothy I.…

    www.statslab.cam.ac.uk/~rds37/papers/CHEN_SHAH.pdf
    2 Jan 2020: Therefore, one can con-struct new ensemble classifiers resulting from multiple random groupings with little extracomputational cost. ... Here each new classifier is still based on the B base classifiers, butwe instead randomly permute the order of the
  4. Tom Liggett, some brief reflections

    www.statslab.cam.ac.uk/~grg/papers/tml-proof.pdf
    3 Sep 2020: I claim to have been the first paying customer for Tom’s volume, in a privateviewing arranged by Springer New York. ... A numberof aspects of life in Cambridge (including the bathing arrangements) caused some bemusement to visitorsfrom the New World,
  5. IB Optimisation: Lecture 7

    www.statslab.cam.ac.uk/~mike/optimisation/lecture7.pdf
    7 May 2020: 2. Indeed, the pivot operation is simply Gaussian elimination,rewriting the problem in terms of the new basisB1 = B0 {j}{i}. ... 132. The new b.f.s is (x1,x2,z1,z2) = (32, 1, 0, 0) which is point D.
  6. STATISTICS Part IBExample Sheet 1 (of 3) Lent 2020 ...

    www.statslab.cam.ac.uk/~sb2116/Statistics_IB/Qu1.pdf
    31 Jan 2020: Find an injective function h on (0,) such that, writing ψ = h(θ), the maximumlikelihood estimator ψ̂ of the new parameter ψ is unbiased.
  7. Mixing times of Markov chains Perla Sousi∗ December 8, ...

    www.statslab.cam.ac.uk/~ps422/mixing-notes.pdf
    8 Dec 2020: In the first case, the order is again uniform, since the new card was.
  8. Address from the funeral service for Richard, held in ...

    www.statslab.cam.ac.uk/~frank/PAPERS/Richard_funeral.pdf
    20 Dec 2020: It was an exciting time: technology was moving rapidly and throwing up new challenges and Richard was in the thick of it.
  9. Applied Probability 4, Lent Term 2020 grg@statslab.cam.ac.uk Renewal…

    www.statslab.cam.ac.uk/~grg/teaching/app-prob2020-4.pdf
    26 Feb 2020: Piet buysa new car as soon as either the old one breaks down or it reaches the age of T years.
  10. IB Optimisation: Lecture 8

    www.statslab.cam.ac.uk/~mike/optimisation/lecture8.pdf
    10 May 2020: Remarks on the simple algorithmThe two-phase algorithm. We solve this new problem with the simplex algorithm. ... x1,x2,x3,z1,z2,y1,y2) = (0, 12, 16, 2, 0, 0, 0). to our new problem.
  11. Math. Stat. Learn. 2 (2019), 165–216DOI 10.4171/MSL/14 Mathematical…

    www.statslab.cam.ac.uk/~nickl/Site/__files/MSL.pdf
    24 Sep 2020: Math. Stat. Learn. 2 (2019), 165–216DOI 10.4171/MSL/14. Mathematical Statistics and Learning European Mathematical Society. On statistical Calderón problems. Kweku Abraham and Richard Nickl. Abstract. For D a bounded domain in Rd;d 2; with smooth
  12. Random Planar Geometry

    www.statslab.cam.ac.uk/~jpm205/teaching/lent2020/rpg_notes.pdf
    11 Mar 2020: It has been a transformative idea which has led to new unexpected links between a number of. ... vertices v(f), and the new edges (but not the original edges of m).
  13. 3. Lecture 4. Maximum Likelihood Estimation Lecture 4. Maximum ...

    www.statslab.cam.ac.uk/~sb2116/Statistics_IB/slides/S1B-17-04-max-like.pdf
    4 Feb 2020: 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). =
  14. Applied Probability 1, Lent Term 2020 grg@statslab.cam.ac.uk Example…

    www.statslab.cam.ac.uk/~grg/teaching/app-prob2020-1.pdf
    20 Jan 2020: There are two salesmennear the door who offer passing customers samples of a new product. ... Each customer takesan exponential time of parameter 1 to think about the new product, and during this timeoccupies the full attention of one salesman.
  15. Richard Gibbens: In Memoriam Richard J. Gibbens passed away ...

    www.statslab.cam.ac.uk/~frank/PAPERS/PERF_Richard_Gibbens.pdf
    11 Sep 2020: share an ingenious new way of doing. something. He had, as some of his.
  16. IB Optimisation: Lecture 3

    www.statslab.cam.ac.uk/~mike/optimisation/lecture3.pdf
    29 Apr 2020: Inequality constraints and complementary slacknessA worked example. Introduce a new function L : Rn Rm R defined by.
  17. 5. Lecture 6. Bayesian estimation Lecture 6. Bayesian estimation ...

    www.statslab.cam.ac.uk/~sb2116/Statistics_IB/slides/S1B-17-06-bayesian.pdf
    4 Feb 2020: Prior and posterior distributions. Example 6.1. Suppose we are interested in the true mortality risk in a hospital H which isabout to try a new operation.
  18. IB Optimisation: Lecture 6

    www.statslab.cam.ac.uk/~mike/optimisation/lecture6.pdf
    6 May 2020: The simplex algorithm in theory. I The new basis B1 is formed from B0 by replacing previouslybasic index i and with previously non-basic index j. ... I The new set of non-basic indices is. N1 = N0 {i}{j}.
  19. THE LOST BOARDING PASS,AND OTHER PRACTICAL PROBLEMS GEOFFREY R. ...

    www.statslab.cam.ac.uk/~grg/papers/lost-bp4.pdf
    29 Feb 2020: At times n =1, 2,. , 52 the player turns over a new card and observes itscolour.
  20. 13. Lecture 14. Applications of the distribution theory Lecture ...

    www.statslab.cam.ac.uk/~sb2116/Statistics_IB/slides/S1B-17-14-normal-applications.pdf
    4 Feb 2020: 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.
  21. IB Optimisation: Lecture 9

    www.statslab.cam.ac.uk/~mike/optimisation/lecture9.pdf
    13 May 2020: I Then solve the problem for this new payout matrix. I The optimal strategies p, q of both the original and modifiedgames will be the same.

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