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  1. Results that match 1 of 2 words

  2. 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: 24:49 0000 https://www.statslab.cam.ac.uk/qz280/images/icon_hu6351ee64df48d2892d6749f985b342fb_222017_512x512_fill_lanczos_center_3.png Study Design ... 2020 10:24:49 0000 https://www.statslab.cam.ac.uk/qz280/publication/design-bias-conservation/ Causal
  3. Multiple conditional randomization tests

    https://www.statslab.cam.ac.uk/~qz280/talk/berkeley-2021/slides.pdf
    3 Jun 2024: Qingyuan Zhao (University of Cambridge) Multiple conditional randomization tests Sep 29, 2021 @ UC Berkeley 24 / 30.
  4. THE WORK OF HUGO DUMINIL-COPIN GEOFFREY R. GRIMMETT Abstract. ...

    https://www.statslab.cam.ac.uk/~grg/papers/duminil-bio2022.pdf
    5 Jul 2022: In a subsequent work, [24], to which we return later, he introduceda new method for proving exponential decay (and more), and appliedit to a spectrum of processes including all random-cluster ... 24] , Sharp phase transition for the random-cluster and
  5. Brownian network models of ramp metering

    https://www.statslab.cam.ac.uk/~frank/TALKS/harrison.pdf
    2 Sep 2009: A linear network. Metering policy. Optimal policy? Proportionally fair metering. Slide Number 24.
  6. CAUSAL INTERPRETATIONS OF BLACK-BOX MODELS QINGYUAN ZHAO AND TREVOR…

    https://www.statslab.cam.ac.uk/~qz280/publication/pdp/paper.pdf
    3 Jun 2024: tation. Journal of Computational and Graphical Statistics, 24(1):44–65, 2015. Donald P Green and Holger L Kern. ... Statistical Association, 107(499):1106–1118, 2012. 24 CAUSAL INTERPRETATIONS OF BLACK-BOX MODELS. US EU JP.
  7. 2 Oct 2001: 3ÑS1H-09;)&%]5X ÒQNh1E/#jG&1 » ,ÉÔÓ#&CÁ ÕÃ )&?#,2;2&cJ8]dOf@XyQ/1b249;:<9r-.9;CH1?A-J#,9;%24'>9;%(G#&?09#,%(-« ... 94%24']?B1HV?0?B1%(- «SC0)]sù9Ch?01 HV?B?01%(-XEh'yQ/1)&?B1:5XÉØX « ' 9CQ-0/1%O94%SG#,?B9;#&%(-XeV-ÄÅ&Æ ' twTO < Ã.
  8. Layout 1

    https://www.statslab.cam.ac.uk/~rjs57/Eagle_final.pdf
    13 Jan 2015: For a statistician, this is a straightforward problem to solve,yielding estimates â = 1.24 and b̂ = 0.09 of a and b respectively, and the fittedcurve displayed in Figure
  9. Causal Inference: An Introduction Qingyuan Zhao Statistical…

    https://www.statslab.cam.ac.uk/~qz280/talk/ssrmp-2020/slides.pdf
    3 Jun 2024: Cycle of statistical research is restored:. Conjecture Data collection. ModellingAnalysis. Qingyuan Zhao (Stats Lab) Causal Inference: An Introduction SSRMP 24 / 57.
  10. CAUSAL INFERENCE - Example Sheet 2 Solutions J. Hera ...

    https://www.statslab.cam.ac.uk/~qz280/teaching/causal-2023/S2.pdf
    3 Jun 2024: Q 2 We use the naming convention of Figure 1 and apply the result of Lemma 3.24 w.l.o.g.
  11. Two-Sample Instrumental Variable Analysis: Challenges and Some…

    https://www.statslab.cam.ac.uk/~qz280/publication/two-sample-iv/slides.pdf
    3 Jun 2024: References. 24/42. Should we include very weak instruments? Theorem (Asymptotic normality).

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