Richard Guo
269 West Hall, LSA Statistics, University of Michigan
I am an Assistant Professor in Statistics at the University of Michigan, Ann Arbor.
I earned my PhD in Statistics from University of Washington, Seattle. I was a Research Associate at the Statistical Laboratory of University of Cambridge and a Richard M. Karp research fellow at the Simons Institute. I also briefly served on the Biostatistics faculty of UW.
Below are a few research topics:
- Replicable data analysis: randomized procedures and derandomization, “hunt and test”, data splitting;
- Statistical foundations of causal inference: graphical models, nonparametric and semiparametric methods;
- Honest & flexible uncertainty quantification: model selection, irregularity, finite sample guarantees, empirical Bayes.
news
Sep 18, 2024 | Paper on multiple data splitting is published on JRSS-B; see also MultiSplit. |
Jan 24, 2024 | Major update to paper on inference for multiple data splitting that highlights the power gain through rank transform. |
Oct 31, 2023 | Presenting an interactive procedure for confounder selection at OCIS. |
Oct 24, 2023 | Try out my Shiny web app for interactively selecting confounders. |
Sep 14, 2023 | A new interactive procedure for confounder selection that elicits structural knowledge bit by bit. |