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Critical behaviour in charging of electric vehicles
www.statslab.cam.ac.uk/~frank/PAPERS/cbcev.html30 Apr 2020: New J. Phys. 17 (2015) 095001. -
Discussion of Random Projection Ensemble Classificationby Timothy I.…
www.statslab.cam.ac.uk/~rds37/papers/CHEN_SHAH.pdf2 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 -
Tom Liggett, some brief reflections
www.statslab.cam.ac.uk/~grg/papers/tml-proof.pdf3 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, -
IB Optimisation: Lecture 7
www.statslab.cam.ac.uk/~mike/optimisation/lecture7.pdf7 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. -
STATISTICS Part IBExample Sheet 1 (of 3) Lent 2020 ...
www.statslab.cam.ac.uk/~sb2116/Statistics_IB/Qu1.pdf31 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. -
Mixing times of Markov chains Perla Sousi∗ December 8, ...
www.statslab.cam.ac.uk/~ps422/mixing-notes.pdf8 Dec 2020: In the first case, the order is again uniform, since the new card was. -
Address from the funeral service for Richard, held in ...
www.statslab.cam.ac.uk/~frank/PAPERS/Richard_funeral.pdf20 Dec 2020: It was an exciting time: technology was moving rapidly and throwing up new challenges and Richard was in the thick of it. -
Applied Probability 4, Lent Term 2020 grg@statslab.cam.ac.uk Renewal…
www.statslab.cam.ac.uk/~grg/teaching/app-prob2020-4.pdf26 Feb 2020: Piet buysa new car as soon as either the old one breaks down or it reaches the age of T years. -
IB Optimisation: Lecture 8
www.statslab.cam.ac.uk/~mike/optimisation/lecture8.pdf10 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. -
Math. Stat. Learn. 2 (2019), 165–216DOI 10.4171/MSL/14 Mathematical…
www.statslab.cam.ac.uk/~nickl/Site/__files/MSL.pdf24 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 -
Random Planar Geometry
www.statslab.cam.ac.uk/~jpm205/teaching/lent2020/rpg_notes.pdf11 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). -
3. Lecture 4. Maximum Likelihood Estimation Lecture 4. Maximum ...
www.statslab.cam.ac.uk/~sb2116/Statistics_IB/slides/S1B-17-04-max-like.pdf4 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). = -
Applied Probability 1, Lent Term 2020 grg@statslab.cam.ac.uk Example…
www.statslab.cam.ac.uk/~grg/teaching/app-prob2020-1.pdf20 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. -
Richard Gibbens: In Memoriam Richard J. Gibbens passed away ...
www.statslab.cam.ac.uk/~frank/PAPERS/PERF_Richard_Gibbens.pdf11 Sep 2020: share an ingenious new way of doing. something. He had, as some of his. -
IB Optimisation: Lecture 3
www.statslab.cam.ac.uk/~mike/optimisation/lecture3.pdf29 Apr 2020: Inequality constraints and complementary slacknessA worked example. Introduce a new function L : Rn Rm R defined by. -
5. Lecture 6. Bayesian estimation Lecture 6. Bayesian estimation ...
www.statslab.cam.ac.uk/~sb2116/Statistics_IB/slides/S1B-17-06-bayesian.pdf4 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. -
IB Optimisation: Lecture 6
www.statslab.cam.ac.uk/~mike/optimisation/lecture6.pdf6 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}. -
THE LOST BOARDING PASS,AND OTHER PRACTICAL PROBLEMS GEOFFREY R. ...
www.statslab.cam.ac.uk/~grg/papers/lost-bp4.pdf29 Feb 2020: At times n =1, 2,. , 52 the player turns over a new card and observes itscolour. -
13. Lecture 14. Applications of the distribution theory Lecture ...
www.statslab.cam.ac.uk/~sb2116/Statistics_IB/slides/S1B-17-14-normal-applications.pdf4 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. -
IB Optimisation: Lecture 9
www.statslab.cam.ac.uk/~mike/optimisation/lecture9.pdf13 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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