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  2. Using Mendelian randomization to discover biological mechanisms

    https://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

    https://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. Fisher, Statistics, and Randomization

    https://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
  5. Leverage Mendelian Randomization to Learn MeaningfulRepresentations…

    https://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 ...

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

    https://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/.
  8. CAUSAL INTERPRETATIONS OF BLACK-BOX MODELS QINGYUAN ZHAO AND TREVOR…

    https://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.
  9. Lecture Notes on Statistical Modelling Qingyuan Zhao December 2, ...

    https://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.
  10. Mathematics of Machine LearningRajen D. Shah…

    https://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…

    https://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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