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1 - 8 of 8 search results for KaKaoTalk:vb20 200 |u:www.statslab.cam.ac.uk where 0 match all words and 8 match some words.

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  2. Frank Kelly's papers

    www.statslab.cam.ac.uk/~frank/PAPERS/
    30 Mar 2024: Proceedings of the ACM SIGCOMM 2014 Workshop on Hot Topics in Software Defined Networking, 199-200.

  3. STATISTICAL MODELLING Part IIC, Michaelmas 2019Practical 2: More on…

    www.statslab.cam.ac.uk/~qz280/teaching/modelling-2022/P2S.pdf
    14 May 2024: observationsp=10n=200# Sample a design matrix with Uniform(0,1) entriesX = matrix(runif(np),n,p)# Compute t-statistics in 10000 simulations from the modelt_stat_mat1 <- LinMod_sim(X).

  4. 2-nhb.dvi

    www.statslab.cam.ac.uk/~grg/books/hammfest/2-nhb.pdf
    22 Mar 2024: 200).This suggests a direct use of large-deviation approximations to normality.Such results are known (Petrov 1975, p.

  5. Mendelian randomization: From genetic association to epidemiological…

    www.statslab.cam.ac.uk/~qz280/publication/mr-partially-bayes/slides.pdf
    14 May 2024: rs11191593. 0.24. 0.28. 0.32. 0.36. 2 5 10 20 50 100 200. ... rs11191593. 0.35. 0.37. 0.39. 0.41. 2 5 10 20 50 100 200.

  6. SISCER Module 12 Lecture 6: Negative Controls and…

    www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/L6.pdf
    14 May 2024: Journal ofEconometrics, 225(2):200–230. Chen, L., Davey Smith, G., Harbord, R. M., and Lewis, S.

  7. Mendelian Randomization: Old and New Insights Qingyuan Zhao…

    www.statslab.cam.ac.uk/~qz280/talk/epfl-2021/slides.pdf
    14 May 2024: 0.24. 0.28. 0.32. 0.36. 2 5 10 20 50 100 200. ... rs11191593. 0.35. 0.37. 0.39. 0.41. 2 5 10 20 50 100 200.

  8. Mendelian Randomization: Old and New Insights Qingyuan Zhao…

    www.statslab.cam.ac.uk/~qz280/talk/penn-biostat-2021/slides.pdf
    14 May 2024: 0.24. 0.28. 0.32. 0.36. 2 5 10 20 50 100 200. ... rs11191593. 0.35. 0.37. 0.39. 0.41. 2 5 10 20 50 100 200.

  9. Bayesian Non-linear Statistical Inverse Problems

    www.statslab.cam.ac.uk/~nickl/Site/__files/FINALBOOKPDF.pdf
    16 Jan 2024: 1=J/PJ. kD1 #k for samplesizes N D 200;400;800, arising from a (so.3/-valued) Matern Gaussian process prior, appliedto a non-Abelian X-ray transform (1.1).

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