Andreas Buja
Affiliations: | University of Pennsylvania, Philadelphia, PA, United States |
Area:
StatisticsGoogle:
"Andreas Buja"Children
Sign in to add trainee| Dianne H. Cook | grad student | 1993 | Rutgers, New Brunswick (Cell Biology Tree) |
| Lisha Chen | grad student | 2006 | Penn |
| Shaun Lysen | grad student | 2009 | Penn |
| Alex L. Goldstein | grad student | 2014 | Penn |
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Publications
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| Buja A, Brown L, Kuchibhotla AK, et al. (2019) Models as Approximations II: A Model-Free Theory of Parametric Regression Statistical Science. 34: 545-565 |
| Buja A, Brown L, Berk R, et al. (2019) Models as Approximations I: Consequences Illustrated with Linear Regression Statistical Science. 34: 523-544 |
| Berk R, Buja A, Brown L, et al. (2019) Assumption Lean Regression The American Statistician. 1-17 |
| Berk RA, Brown L, Buja A, et al. (2018) Working with Misspecified Regression Models Journal of Quantitative Criminology. 34: 633-655 |
| Berk R, Brown L, Buja A, et al. (2014) Misspecified Mean Function Regression: Making Good Use of Regression Models That Are Wrong Sociological Methods and Research. 43: 422-451 |
| Yang D, Ma Z, Buja A. (2014) A Sparse Singular Value Decomposition Method for High-Dimensional Data Journal of Computational and Graphical Statistics. 23: 923-942 |
| Berk R, Pitkin E, Brown L, et al. (2013) Covariance adjustments for the analysis of randomized field experiments. Evaluation Review. 37: 170-96 |
| Berk RA, Brown LD, Buja A, et al. (2013) Valid post-selection inference Annals of Statistics. 41: 802-837 |
| Wickham H, Cook D, Hofmann H, et al. (2011) Tourr: An R package for exploring multivariate data with projections Journal of Statistical Software. 40: 1-18 |
| Wickham H, Cook D, Hofmann H, et al. (2010) Graphical inference for Infovis. Ieee Transactions On Visualization and Computer Graphics. 16: 973-9 |