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1 - 9 of 9 search results for katalk:za33 24 |u:www.statslab.cam.ac.uk where 0 match all words and 9 match some words.

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  2. Tom Liggett, some brief reflections

    www.statslab.cam.ac.uk/~grg/papers/tml-proof.pdf
    3 Sep 2020: 17. 18. 19. 20201/2. 21. 22. 23. 24. 25. 26. 27. ... 23. 24. 25. 26. 27. 28. 29. 30. 31. 32. 33.

  3. Discussion of Random Projection Ensemble Classificationby Timothy I.…

    www.statslab.cam.ac.uk/~rds37/papers/CHEN_SHAH.pdf
    2 Jan 2020: References. Breiman, L. (1996). Stacked regressions. Machine Learning, 24, 49–64. Wolpert, D.

  4. IB Optimisation: Lecture 1

    www.statslab.cam.ac.uk/~mike/optimisation/lecture1.pdf
    24 Apr 2020: IB Optimisation: Lecture 1. Mike Tehranchi. University of Cambridge. 24 April 2020.

  5. CORRECTIONS for ‘Mathematical foundations of infinite-dimensional…

    www.statslab.cam.ac.uk/~nickl/Site/__files/CORRECTIONS.pdf
    19 Dec 2020: p.24, in equation (2.3) and the line after it, replace (twice) ‘1/π2’ by ‘4/π2’, and in line -1, replaceonce more ‘K = 1π2 ’ by ‘K =. 4π2 ’. p.25, ... 2.21), replace ‘t2’ by ‘u2’. p.37, equation (2.24): replace ‘Eeξ2/c2 =.

  6. Mixing times of Markov chains Perla Sousi∗ December 8, ...

    www.statslab.cam.ac.uk/~ps422/mixing-notes.pdf
    8 Dec 2020: 16. 3.2 Examples. 20. 3.3 Hitting time bound. 23. 4 Dirichlet form and the bottleneck ratio 24. ... 24. Corollary 4.2. Let P be a reversible matrix with respect to π.

  7. Random Planar Geometry

    www.statslab.cam.ac.uk/~jpm205/teaching/lent2020/rpg_notes.pdf
    11 Mar 2020: 6. Planar maps 12. 7. Random planar maps 19. 8. Conformal mapping review 24. ... 24 JASON MILLER. (3) In general, one has the “same behavior” for planar maps chosen uniformly at random from.

  8. 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: In the context of EIT we refer to the articles [10,12,21,22,24,42] andthe many references therein. ... JKU DXjJ. XkK. hU.r/j ;. 0/. kiL2.@D/b. r/. jk: (24). Lemma 4.

  9. Abstract We survey the published work of Harry Kesten ...

    www.statslab.cam.ac.uk/~grg/papers/kesten-ptrf-final.pdf
    13 Nov 2020: At the time of Harry’s move from theNetherlands to the USA in 1956, as a graduate student aged 24, much of thefoundational infrastructure of probability was in place.

  10. Mathematical Foundations of Infinite-Dimensional Statistical Models

    www.statslab.cam.ac.uk/~nickl/Site/__files/FULLPDF.pdf
    25 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

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