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Larry Wasserman

Affiliations:

Carnegie Mellon University, Pittsburgh, PA

Area:

Statistics

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"Larry Wasserman"

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Parents

Michael John Evans	grad student	1988	University of Toronto
Robert John Tibshirani	grad student	1988	University of Toronto

Children

Herbert Lee	grad student	1998	Carnegie Mellon
Tzee-Ming Huang	grad student	2000	Carnegie Mellon
Iuliana Ianus	grad student	2002	Carnegie Mellon
Woncheol Jang	grad student	2003	Carnegie Mellon
Hoa Nguyen	grad student	2005	Carnegie Mellon
Alex L. Rojas Pena	grad student	2006	Carnegie Mellon
Han Liu	grad student	2010	Carnegie Mellon
Georg M. Goerg	grad student	2012	Carnegie Mellon
Daniel Percival	grad student	2012	Carnegie Mellon
Aaditya Kumar Ramdas	grad student	2010-2015	Carnegie Mellon
Collin A. Politsch	grad student	2015-2020	Carnegie Mellon

Collaborators

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Publications

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Cramer EY, Ray EL, Lopez VK, et al. (2022) Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States. Proceedings of the National Academy of Sciences of the United States of America. 119: e2113561119
McDonald DJ, Bien J, Green A, et al. (2021) Can auxiliary indicators improve COVID-19 forecasting and hotspot prediction? Proceedings of the National Academy of Sciences of the United States of America. 118
Reinhart A, Brooks L, Jahja M, et al. (2021) An open repository of real-time COVID-19 indicators. Proceedings of the National Academy of Sciences of the United States of America. 118
Wasserman L, Ramdas A, Balakrishnan S. (2020) Universal inference. Proceedings of the National Academy of Sciences of the United States of America
Politsch CA, Cisewski-Kehe J, Croft RAC, et al. (2020) Trend filtering – I. A modern statistical tool for time-domain astronomy and astronomical spectroscopy Monthly Notices of the Royal Astronomical Society. 492: 4005-4018
Rinaldo A, Tibshirani RJ, Wasserman L. (2019) Comment: Statistical Inference from a Predictive Perspective Statistical Science. 34: 599-603
Tibshirani RJ, Rinaldo A, Tibshirani R, et al. (2018) Uniform asymptotic inference and the bootstrap after model selection The Annals of Statistics. 46: 1255-1287
Lei J, G’Sell M, Rinaldo A, et al. (2018) Distribution-Free Predictive Inference for Regression Journal of the American Statistical Association. 113: 1094-1111
Chen YC, Genovese CR, Tibshirani RJ, et al. (2016) Nonparametric modal regression Annals of Statistics. 44: 489-514
Robins JM, Hernán MA, Wasserman L. (2015) Discussion of "On Bayesian estimation of marginal structural models". Biometrics. 71: 296-9

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