Publications

Iowa State University
              Referred Publications [Google Scholar]

Publications (Current and former students are marked with *)

2019-2020 

  • Li, X.*, Wang, L. and Wang, H. (2020). Sparse learning and structure identification for ultra-high-dimensional image-on-scalar regression. Journal of the American Statistical Association, Theory and Methods. In press. [Read PDF
  • Yu, S.*, Wang, G.*, Wang, L. and Yang, L. (2020). Multivariate spline estimation and inference for image-on-scalar regression. Statistica Sinica. Accepted. [Read PDF]  [An early version was selected as one of three runners-up of 2019 ASA Statistics in Imaging Section Student Paper Competition
  • Kim, M.* and Wang, L. (2020). Generalized spatially varying coefficient models. Journal of Computational and Graphical Statistics. In press. [Read PDF
  • Cao, G., Wang, S. and Wang, L. (2020).  Estimation and inference for functional linear regression models with partially varying regression coefficients. Stat. In press. [Read PDF
  • Klinedinst, B.S., Meierc, N.F., Larsen, B., Wang, Y.*, Yu, S.*, Mocheld, J.P., Scott, L., Wolff, T., Pollpeterg, A., Pappas, C., Wang, Q., Allenspach, K., Wang, L., Russelli, D., Bennett, D.A., Willette, A.A. (2020). Walking in the light: How history of physical activity, sunlight, and vitamin D account for body fat -- a UK Biobank study. Obesity, 28, 1428-1437. [Read PDF
  • Wang, J., Cao, G., Wang, L. and Yang, L. (2020). Simultaneous confidence band for stationary covariance function of dense functional data. Journal of Multivariate Analysis. In press. [Read PDF
  • Mu, J., Wang, G. and Wang, L. (2020). Efficient estimation and model identification for spatially varying coefficient autoregressive models. Journal of Nonparametric Statistics, 32, 428-451. [Read PDF
  • Wang, Y.*, Wang, G.*, Wang, L. and Ogden, T. (2020). Simultaneous confidence corridors for mean functions in functional data analysis of imaging data. Biometrics, 76, 427-437.  [Read PDF]  & R package
  • Yu, S.*, Wang, G.*, Wang, L., Liu, C.* and Yang, L. (2020). Estimation and inference for generalized geoadditive models. Journal of the American Statistical Association, Theory and Methods, 115, 761-774. [Read PDF]  & R package
  • Wang, L., Wang, G.*, Lai, M. J. and Gao, L. (2020). Efficient estimation of partially linear models for data on complicated domains by bivariate penalized splines over triangulations. Statistica Sinica, 30, 347-369. [Read PDF]  & R package

2018-2019

  • Klinedinst, B., Pappas, C., Le, S., Yu, S.*, Wang, Q., Wang, L., Allenspach, K., Mochel, J. and Willette, A. (2019). Aging-related changes in fluid intelligence, muscle and adipose mass, and sex-specific immunologic mediation: a longitudinal UK Biobank study. Brain, Behavior, and Immunity, 82, 396-405.  Read PDF
  • Li, X.*, Wang, L. and Nettleton, D. (2019a). Additive partially linear models for ultra-high-dimensional regression. Stat, 8. e223.  Read PDF
  • Li, X.*, Wang, L. and Nettleton, D. (2019b). Sparse model identification and learning for ultra-high-dimensional additive partially linear models. Journal of Multivariate Analysis, 173, 204-228.  Read PDF
  • Song, X., Wang, L., Ma, S. and Huang, H. (2019). Variable selection for partially linear proportional hazards model with covariate measurement error. Journal of Nonparametric Statistics, 31, 196-220.  Read PDF

2017-2018

  • Datta, G. S., Delaigle, A., Hall, P. and Wang, L. (2018). Semi-parametric prediction intervals in small areas when auxiliary data are measured with error. Statistica Sinica, 28, 2309-2335.  Read PDF
  • Cao, G. and Wang, L. (2018). Simultaneous inference for the mean of repeated functional data. Journal of Multivariate Analysis, 165, 279-295.  Read PDF
  • Wang, L. and Cao, G. (2018). Efficient estimation for generalized partially linear single-index models. Bernoulli, 24, 1101-1127.  Read PDF
  • Mu, J.*, Wang, G.* and Wang, L. (2018). Estimation and inference in spatially varying coefficient models. Environmetrics, 29:e2485. Read PDF  & R package
  • Yin, S., Zhu, Z., Wang, L., Liu, B., Xie, Y., Wang, G.* and Li, Y. (2018). Regional soil erosion assessment based on a sample survey and geostatistics. Hydrology and Earth System Sciences, 22, 1695-1712.  Read PDF
  • Song, X. and Wang, L. (2017). Partially time-varying coefficient proportional hazards models with error-prone time-dependent covariates: an application to the AIDS Clinical Trials Group 175 Data. Annals of Applied Statistics, 11, 274-296.  Read PDF

2015-2016

  • Cao, G., Wang, L., Li, Y. and Yang, L. (2016). Oracle-efficient confidence envelopes for covariance functions in dense functional data. Statistica Sinica, 26, 359-383.  Read PDF
  • Wang, G.* and Wang, L. (2015). Spline estimation and variable selection for single-index prediction models with a diverging number of index parameters. Journal of Statistical Planning and Inference, 162, 1-19.  Read PDF

2013-2014

  • Wang, L., Wang, S. and Wang, G.* (2014). Variable selection and estimation for longitudinal survey data. Journal of Multivariate Analysis, 130, 409-424.  Read PDF
  • Gu, L., Wang, L., Hardle, W. and Yang, L. (2014). Simultaneous confidence corridor for varying coefficient regression with sparse functional data. Test, 23, 806-843.  Read PDF
  • Wang, L., Xue, L., Qu, A. and Liang, H. (2014). Estimation and model selection in generalized additive partial linear models for correlated data with a diverging number of covariates. The Annals of Statistics, 42, 592-624. Read PDF
  • Lai, M. J. and Wang, L. (2013). Bivariate penalized splines for regression. Statistica Sinica, 23, 1399-1417. Read PDF & R package
  • Ma, S., Song, Q. and Wang, L. (2013). Simultaneous variable selection and estimation in semiparametric modeling of longitudinal/clustered data. Bernoulli, 19, 252-274.  Read PDF

2011-2012

  • Cao, G., Wang, J., Wang, L. and Todem, D. (2012). Spline confidence bands for functional derivatives. Journal of Statistical Planning and Inference, 142, 1557-1570.  Read PDF
  • Wang, L., Feng, C.*, Song, Q., Yang, L. (2012). Efficient semiparametric GARCH modeling of financial volatility. Statistica Sinica, 22, 249-270.  Read PDF
  • Wang, L., Liu X., Liang, H. and Carroll, R. J. (2011). Estimation and variable selection for generalized additive partial linear models. The Annals of Statistics, 39, 1827-1851.  Read PDF
  • Wang, L. and Wang, S. (2011). Nonparametric additive model-assisted estimation for survey data. Journal of Multivariate Analysis, 102, 1126-1140.  Read PDF
  • Wang, L. (2011). A nonparametric analysis of environmental Kutznets curves. Environmetrics, 22, 420-430. Read PDF
  • Liu, X., Wang, L. and Liang, H. (2011). Estimation and variable selection for semiparametric additive partial linear models. Statistica Sinica, 21, 1225-1248.  Read PDF
  • Gao, L. and Wang, L. (2011). Security price responses to unexpected earnings: a nonparametric investigation. Statistical Methods and Applications, 20, 241-258.  Read PDF

2009-2010

  • Wang, L. and Yang, L. (2010). Simultaneous confidence bands for time series prediction function. Journal of Nonparametric Statistics, 22, 999-1018.  Read PDF
  • Wang, L. (2009). Single-index model-assisted estimation in survey sampling. Journal of Nonparametric Statistics, 21, 487-504.  Read PDF
  • Wang, L. and Yang, L. (2009). Spline estimation of single-index models. Statistica Sinica, 19, 765-783.  Read PDF

2007-2008

  • Huang X., Wang, L., Yang, L. and Kravchenko, A. N. (2008). Management practice effects on relationships of grain yields with topography and precipitation. Agronomy Journal, 100, 1463-1471.  Read PDF
  • Wang, L. and Yang, L. (2007). Spline-backfitted kernel smoothing of nonlinear additive autoregression model. The Annals of Statistics, 35, 2474-2503.  Read PDF

Before 2007

  • Wang, L. and Liang, H. (2004). Strong uniform convergence for the improved estimator of the regression function under phi-mixing conditions. Metrika, 59, 245-261.  Read PDF
  • Liang, H. and Wang, L. (2001). Convergence rates in the law of large numbers for B-valued random elements.Acta Mathematica Scientia, Series B, 21, 229-236.  Read PDF