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1 - 8 of 8 search results for katalk:za33 24 |u:www.statslab.cam.ac.uk where 0 match all words and 8 match some words.

  1. Results that match 1 of 2 words

  2. Logarithmic corrections to scaling in the four-dimensionaluniform…

    https://www.statslab.cam.ac.uk/~ps422/USF4d8.pdf
    4 Feb 2021: to the surveys [31, 24] for further background. Let d 1 and let K Zd be finite.

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

    https://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.

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

    https://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 =.

  5. PROBABILITY AND MEASURE J. R. NORRIS Contents 1. Measures ...

    https://www.statslab.cam.ac.uk/~james/Lectures/pm.pdf
    6 Oct 2021: 24. (iii) for some integrable function g, for all x E and all t U,ft (t,x) g(x).

  6. ADVANCED PROBABILITY JAMES NORRIS Contents 0. Review of measure ...

    https://www.statslab.cam.ac.uk/~james/Lectures/ap.pdf
    3 Oct 2021: 24. (a) X is a martingale,(b) for all bounded stopping times T and all stopping times S, XT is integrable and.

  7. PUBLICATIONS OF HARRY KESTEN 1950 1960 1970 1980 1990 ...

    https://www.statslab.cam.ac.uk/~grg/papers/kesten-bib.pdf
    18 Oct 2021: Kesten. Continuity of local times forMarkov processes. Compositio Math., 24:277–303, 1972. ... Sidoravicius. A problem in last-passage per-colation. Braz. J. Probab. Stat., 24(2):300–320, 2010.

  8. Unco rrecte d Pr oof Non-Coupling from the Past ...

    https://www.statslab.cam.ac.uk/~grg/papers/cftp-pub.pdf
    15 Jan 2021: 24). By similar arguments,. μ(M < 2, N = 0) = 0, (25)μ(M = 1) = 0. ... μ(N = 1) = μ(N = 1, M = 0) by (24)= μ(M = 0) by (25) and (23)= μ(A1 A2)= μ(Ar ), r = 1, 2, by (26).

  9. David Spiegelhalter's Personal Home Page

    https://www.statslab.cam.ac.uk/~david/
    1 Apr 2021: DJ Spiegelhalter and H Goldstein. Comment: Citation statistics. Statistical Science , 24(1): 21-24, 2009.

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