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41 - 50 of 111 search results for TALK:PC53 20 |u:www.statslab.cam.ac.uk where 0 match all words and 111 match some words.

  1. Results that match 1 of 2 words

  2. Using Mendelian randomization to discover biological mechanisms

    www.statslab.cam.ac.uk/~qz280/talk/jsm-2023/slides.pdf
    3 Jun 2024: Results of MR-PATH. Example: BMI-T2D (individual βi). 20. 15. 10. 5.

  3. A Novel Approach to Spatially Indexed Functional Data Analysis

    www.statslab.cam.ac.uk/~lab85/resources/RSS%20Slides%20-%20LA%20Barratt%20and%20JAD%20Aston.pdf
    1 Sep 2023: 60. 70. 10 0 10 20 30Longitude (E). La. titu. de.

  4. www.statslab.cam.ac.uk/~qz280/tag/study-design/index.xml

    www.statslab.cam.ac.uk/~qz280/tag/study-design/index.xml
    3 Jun 2024: https://www.statslab.cam.ac.uk/qz280/publication/acic-competition-comment/ Tue, 20 Nov 2018 00:00:00 0000 https://www.statslab.cam.ac.uk/qz280/publication/acic-competition-comment/.

  5. Leverage Mendelian Randomization to Learn MeaningfulRepresentations…

    www.statslab.cam.ac.uk/~qz280/talk/lmrl-2021/slides.pdf
    3 Jun 2024: BMI-T2D example: Posterior intervals. 20. 15. 10. 5. 0. rs79. 0314.

  6. Advanced Probability Perla Sousi∗ November 6, 2023 Contents 1 ...

    www.statslab.cam.ac.uk/~ps422/mynotes.pdf
    6 Nov 2023: 20. 2.7 Uniformly integrable martingales. 21. 2.8 Backwards martingales. 23. 2.9 Applications of martingales. ... Proposition 1.20. Let H G be σ-algebras and X L1(,F,P). Then.

  7. Fisher, Statistics, and Randomization

    www.statslab.cam.ac.uk/~qz280/talk/fisher-2022/slides.pdf
    3 Jun 2024: This greatly improves the efficiency of the analysis of variance. Qingyuan Zhao (University of Cambridge) Fisher, Statistics, and Randomization April 22, 2022 20 / 37. ... About 20 years ago, when asked in a meeting what can be done in observational

  8. Lecture Notes on Statistical Modelling Qingyuan Zhao December 2, ...

    www.statslab.cam.ac.uk/~qz280/teaching/modelling-2022/notes.pdf
    3 Jun 2024: 0. 5. 10. 15. 20. 4 2 0 2 4. y. ... 20. As a final remark on model diagnostics, the above quantities and plots should beregarded as visual “falsification tests” of the various assumptions made by the normallinear model.

  9. CAUSAL INTERPRETATIONS OF BLACK-BOX MODELS QINGYUAN ZHAO AND TREVOR…

    www.statslab.cam.ac.uk/~qz280/publication/pdp/paper.pdf
    3 Jun 2024: 1015. 2025. 3035. 40. Scatter plot. acceleration. mpg. 5 10 15 20 25. ... about. arXiv preprint arXiv:1903.10075, 2019. 20 CAUSAL INTERPRETATIONS OF BLACK-BOX MODELS.

  10. Mathematics of Machine LearningRajen D. Shah…

    www.statslab.cam.ac.uk/~rds37/teaching/machine_learning/notes.pdf
    12 Mar 2024: 20. where ε1:n are i.i.d. Rademacher random variables. Then R̂(F(z1:n)) = E maxj Wj.

  11. Using sparsity to overcome unmeasured confounding:Two parametric…

    www.statslab.cam.ac.uk/~qz280/talk/iscb-2020/slides.pdf
    3 Jun 2024: In both problems, specificity/sparsity of α is needed for identification. Qingyuan Zhao (Stats Lab) Specificity/Sparsity ISCB 2020 20 / 27.

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