| Regression and time series model selection in small samples CM Hurvich, CL Tsai Biometrika 76 (2), 297-307, 1989 | 7984 | 1989 |
| Improved methods for tests of long‐run abnormal stock returns JD Lyon, BM Barber, CL Tsai The Journal of Finance 54 (1), 165-201, 1999 | 2672 | 1999 |
| Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion CM Hurvich, JS Simonoff, CL Tsai Journal of the Royal Statistical Society Series B: Statistical Methodology …, 1998 | 1681 | 1998 |
| Regression and time series model selection ADR McQuarrie, CL Tsai World Scientific, 1998 | 1228 | 1998 |
| Tuning parameter selectors for the smoothly clipped absolute deviation method H Wang, R Li, CL Tsai Biometrika 94 (3), 553-568, 2007 | 882 | 2007 |
| Linear regression X Su, X Yan, CL Tsai Wiley Interdisciplinary Reviews: Computational Statistics 4 (3), 275-294, 2012 | 581 | 2012 |
| A corrected Akaike information criterion for vector autoregressive model selection CM Hurvich, CL Tsai Journal of time series analysis 14 (3), 271-279, 1993 | 510 | 1993 |
| Subgroup analysis via recursive partitioning. X Su, CL Tsai, H Wang, DM Nickerson, B Li Journal of Machine Learning Research 10 (2), 2009 | 508 | 2009 |
| The focused information criterion G Claeskens, NL Hjort Journal of the American Statistical Association 98 (464), 900-916, 2003 | 501 | 2003 |
| The impact of model selection on inference in linear regression CM Hurvich, CL Tsai The American Statistician 44 (3), 214-217, 1990 | 428 | 1990 |
| Bias of the corrected AIC criterion for underfitted regression and time series models CM Hurvich, CL Tsai Biometrika 78 (3), 499-509, 1991 | 408 | 1991 |
| Regression coefficient and autoregressive order shrinkage and selection via the lasso H Wang, G Li, CL Tsai Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2007 | 399 | 2007 |
| Model selection for extended quasi-likelihood models in small samples CM Hurvich, CL Tsai Biometrics, 1077-1084, 1995 | 392 | 1995 |
| Regularization parameter selections via generalized information criterion Y Zhang, R Li, CL Tsai Journal of the American statistical Association 105 (489), 312-323, 2010 | 385 | 2010 |
| Model selection for multivariate regression in small samples EJ Bedrick, CL Tsai Biometrics, 226-231, 1994 | 349 | 1994 |
| Estimation and testing for partially linear single-index models H Liang, X Liu, R Li, CL Tsai Annals of statistics 38 (6), 3811, 2010 | 276 | 2010 |
| Quantile correlations and quantile autoregressive modeling G Li, Y Li, CL Tsai Journal of the American Statistical Association 110 (509), 246-261, 2015 | 184 | 2015 |
| Markov-switching model selection using Kullback–Leibler divergence A Smith, PA Naik, CL Tsai Journal of Econometrics 134 (2), 553-577, 2006 | 164 | 2006 |
| Improved estimators of Kullback–Leibler information for autoregressive model selection in small samples CM Hurvich, R Shumway, CL Tsai Biometrika 77 (4), 709-719, 1990 | 163 | 1990 |
| Bias in nonlinear regression RD Cook, CL Tsai, BC Wei Biometrika 73 (3), 615-623, 1986 | 162 | 1986 |
