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Home  Research Areas Variable Selection Bibliography
Variable selection for IID data
Fan, J. & Li, R., (2001). Variable selection via nonconcave penalized likelihood and its oracle properties. J. of Amer. Statist. Assoc, 96, 1348-1360.
Hunter, D. & Li, R., (2005). Variable selection using MM algorithms. Annals of Statistics, 33, 1617-1642.
Wang, H., Li, R., Tsai, C.L., Tuning Wang, H., Li, R., & Tsai, C.L., (2007). Tuning parameter selectors for the smoothly clipped absolute deviation method. Biometrika, 94, 553-568.
Li, R. & Liang, H., (2008). Variable selection in semiparametric regression modeling. Annals of Statistics, 36, 261-286.
Zou, H. & Li, R., (2008). One-step sparse estimates in nonconcave penalized likelihood models (with discussion). Annals of Statistics 26, 1509-1566.
Wang, L. & Li, R., (2009). Weighted Wilcoxon-type smoothly clipped absolute deviation method. Biometrics, In press.
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Variable selection for longitudinal data
Fan, J. & Li, R., (2004). New estimation and model selection procedures for semiparametric modeling in longitudinal data analysis. Journal of American Statistical Association, 99, 710-723.
Dziak, J. & Li, R., (2007). An overview on variable selection for longitudinal data. Quantitative Medical Data Analysis using Mathematical Tools and Statistical Techniques, (D. Hong and Y. Shyr, eds). 3-24. World Sciences Publisher, Singapore.
Dziak, J., Li, R. & Qu, A., (2008). An overview on quadratic inference function approaches for longitudinal data. New Developments in Biostatistics and Bioinformatics, In press.
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Variable selection for survival data
Fan, J. & Li, R., (2002). Variable selection for Cox's proportional hazard model and frailty model. Ann. of Statist., 30, 74-99.
Cai, J., Fan, J., Li, R. & Zhou, H., (2005). Variable selection for multivariate failure time data. Biometrika, 92, 303-316.
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Variable selection for measurement error data
Liang, H. & Li, R., (2009). Variable selection for partially linear models with measurement Errors. Journal of American Statistical Association, 104, 234-248.
Ma, Y. & Li, R. Variable selection in measurement error models. Tentatively accepted by Bernoulli.
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Variable selection for screening experiments
Li, R. & Lin, D.K.-J., (2002). Data analysis in supersatured designs. Statistics and Probability Letters, 59, 135-144.
Li, R. & Lin, D.K.-J., (2008). Variable selection for screening experiments. Quality Technology and Quantitative Management, In press.
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