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41 - 50 of 104 search results for TALK:PC53 20 |u:www.statslab.cam.ac.uk where 0 match all words and 104 match some words.

  1. Results that match 1 of 2 words

  2. What is a randomization test?

    www.statslab.cam.ac.uk/~qz280/talk/toronto-2022/slides.pdf
    3 Jun 2024: Qingyuan Zhao (University of Cambridge) What is a randomization test? March 23, 2023 @ University of Toronto 20 / 33. ... P. R. Rosenbaum, Observational studies, (Springer, 2002).19. P. R. Rosenbaum, Statistical Science 32, 514–530 (2017).20.

  3. 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.

  4. www.statslab.cam.ac.uk/~qz280/tag/selective-inference/index.xml

    www.statslab.cam.ac.uk/~qz280/tag/selective-inference/index.xml
    3 Jun 2024: Selective Inference | Qingyuan Zhao https://www.statslab.cam.ac.uk/qz280/tag/selective-inference/ Selective Inference Source Themes Academic (https://sourcethemes.com/academic/) en-us 2024 Tue, 14 May 2024 ... inference/ Selective Randomization Inference

  5. 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

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. DOMINIC WELSH (1938–2023) GEOFFREY R. GRIMMETT If the principal ...

    www.statslab.cam.ac.uk/~grg/papers/welsh1.pdf
    1 May 2024: In [20],Hammersley and Welsh sought upper bounds for σn, and were able to provethat there exists γ such that σn κnγ. ... Press, Oxford, 2014.[20] J. M. Hammersley and D. J. A. Welsh, Further results on the rate of convergence to.

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