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Probability and Random Processes, 4e
www.statslab.cam.ac.uk/~grg/books/prp5.html3 May 2024: 6.11.12) should be (6.11.18). p 508, l 8 fb. Theorem (6.4.17) should be (6.4.20). -
Richard Nickl’s Publications Page Books [A] Mathematical foundations…
www.statslab.cam.ac.uk/~nickl/Site/publications.html10 May 2024: 20] Adaptive Confidence Sets in L_2. (with A. Bull). Probability Theory and Related Fields 156 (2013) 889-919. ... with B.M. Pötscher). Journal of Theoretical Probability, 20 (2007), 177-199. -
A SIMPLE PROBABILISTIC PROOF OF STOLARSY’S INVARIANCE PRINCIPLE…
www.statslab.cam.ac.uk/~qz280/publication/stolarsky/proof.pdf14 May 2024: Date: April 20, 2016. 1. 2 A SIMPLE PROBABILISTIC PROOF OF STOLARSY’S INVARIANCE PRINCIPLE. ... Hence. Sdmin(y′x,y′z) dσd(y). = 2s π/20. π0. cos θ1(sin θ1). d1(sin θ2)d2. -
Research
www.statslab.cam.ac.uk/~rjs57/Research.html1 May 2024: Gramacy, R., Samworth, R. and King, R. (2010) Importance tempering. Statistics and Computing, 20, 1-7. -
Geoffrey Grimmett's Recent Work
www.statslab.cam.ac.uk/~grg/preprints.html23 Apr 2024: The Electronic Journal of Combinatorics 20 (2013), Paper P3.47, 14 pp. -
STATISTICAL MODELLING Part IIC, Michaelmas 2019Practical 1:…
www.statslab.cam.ac.uk/~qz280/teaching/modelling-2022/P1S.pdf14 May 2024: code. > grades_1 <- c(10,11,14.5,15,15,18,12,19,18.5,19,20,13). > grades_2 <- ... 20,17). > mean(grades_1). > mean(grades_2). > -
Practical: Matching/Weighting and Sensitivity Analysis
www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/P4.pdf14 May 2024: 4. (Bonus) Using the results from the dynamic TWFE model to make an event plot similar to Page 20 ofLecture 6. -
STATISTICAL MODELLING Part IIC, Michaelmas 2019Practical 4: More on…
www.statslab.cam.ac.uk/~qz280/teaching/modelling-2022/P4S.pdf14 May 2024: 65.12133## 14 62.18988 102.73584 59.295654 178.00045## 15 110.48565 153.98449 88.626207 267.54190## 16 15.28559 20.01586 11.570445 34.62569. -
SISCER Module 12 Lecture 6: Negative Controls and…
www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/L6.pdf14 May 2024: Back to the EITC example (Dow et al., 2020). 20 / 20. ... 20 / 20. Review: causal inference in observational studies. Negative controls. -
Practical: Randomization inference
www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/P1.pdf14 May 2024: 1:2) {. hist(T_random[m, ], 20,main = paste0("Randomization distribution (model ", m, "): ",. "p-value = ", signif(mean(T_random[m, ] >= T_obs[m]), 2)),xlab = "Test statistic", xlim = range(T_random)).
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