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3 Jun 2024: Search. Qingyuan Zhao. University Associate Professor in Statistics. About. I am a University Associate Professor of Statistics in the Statistical Laboratory, Department of Pure Mathematics and Mathematical Statistics (DPMMS) at University of

Papers to download. Activities. Editorial board, Springer Undergraduate Mathematics Series.

17 Oct 2014: Download it here (right click. save as). An executable program lp_solve that you can easily run on a PC under DOS to compute the solution to linear programming problems and

3 Jun 2024: Search. Useful links. Maths & Stats. Tripos papers sorted by course. Research in the CMS for undergraduate students. You and Your Research by Richard Hamming. Computing. R Packages: Organize, Test, Document, and Share Your Code by Hadley Wickham. A

18 Feb 2015: Page transitions will look better if you download the. pdf and read in Acrobat, rather then trying to view in your browser.

3 Jun 2024: Search. Posts. Macros for graph separations. In a recent paper by Richard Guo and me, we proposed a systematic way to select confounders by eliciting expert opinion. We invented some new notation to distinguish some different types of graph

14 Jan 2016: I may make some changes as the course proceeds. You can download a copy now, and take another copy once the course ends. ... You will have to download a copy of the pdf file.

3 Jun 2024: Search. Design. We provide a unified review of various confounder selection criteria in the literature and the assumptions behind them. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Authors. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Students. Postdocs. Katarzyna Reluga: 2020–2021. Zijun Gao: 2022-2023. Ph.D. students. Matt Tudball (co-supervision): 2018–2023. Tobias Freidling: 2020–. Joakim Blach Andersen: 2021–. Max Zhu: 2022–. Undergraduate students. Etaash

3 Jun 2024: Search. Teaching. Causal Inference (Part III, Michaelmas 2023). 16-lecture course on causal inference, the statistical science of drawing causal conclusions from experimental and non-experimental data. Causal Inference with Observational Data:

3 Jun 2024: Search. Bootstrapping sensitivity analysis. Date. 2020-08-03. Event. JSM 2020. Location. JSM 2020 (Virtual). 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Multiple conditional randomization tests. Date. 2021-09-29 9:30 PM — 10:30 PM. Event. UC Berkeley Causal Inference Group. Location. UC Berkeley Causal Inference Group. 2024. Powered by the Academic theme forCite.

3 Jun 2024: Search. Discovering mechanistic heterogeneity using Mendelian randomization. Abstract. Mendelian Randomization (MR) is a popular method in epidemiology and genetics that uses genetic variation as instrumental variables for causal inference. Existing

23 Apr 2013: Charles Grinstead and Laurie Snell Introduction to Probability Second edition, 1997 (freely available to download). ... Peter Doyle and Laurie Snell Random walks and electric networks, 2006 (freely available to download.

3 Jun 2024: Search. Using sparsity to overcome unmeasured confounding. Abstract. Sparsity is often used to improve the interpretability of a statistical analysis and/or reduce the variance of a statistical estimator. This talk will explore another aspect—the

3 Jun 2024: Search. Randomization. Selective Randomization Inference for Adaptive Experiments. We apply ideas from post-selection inference to randomization tests for adaptive experiments. Discussion on (quasi-)randomization inference. The following is an email

3 Jun 2024: Search. The cycle of statistical research. Abstract. More than fifty years ago, John Tukey first envisioned a field we now call “Data Science” (he called it “Data Analysis”) to replace academic statistics. George Box, who famously said

3 Jun 2024: Search. Confounder selection via iterative graph expansion. Date. 2024-02-08 2:00 PM — 3:00 PM. Event. Joint Econometrics and Statistics Seinar. Location. London School of Economics and Political Science (LSE). 2024. Powered by the Academic theme

3 Jun 2024: Search. BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. Date. 2020-09-24. Event. OSU Statistics Seminar. Location. Department of Statistics, Ohio State University. 2024. Powered by the Academic