个人简介
Experience
Professor, National Tsing Hua University2011/02~
Director, Institute of Statistics, National Tsing Hua University2012/08~2015/07
Visiting Associate Professor, National Tsing Hua University2009/08~2010/04
Associate Professor, Dept. of Biostatistics, University of Rochester2004/07~2009/01, with tenure 2009/02~2013/01 (absence leave 2009/08-2010/04 and 2011/02-2013/01)
Assistant Professor, Dept. of Biostatistics, University of Rochester
Research Postdoctoral Fellow, Dept. of Biostatistics, University of Rochester
Research Postdoctoral Fellow, Australian National University
Assistant Professor, Dept. of Statistics, Florida State University
近期论文
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Fan, J., Gijbels, I., Hu, T.-C. and Huang, L.-S. (1996). An asymptotic study of variable bandwidth selection for local polynomial regression. Statistica Sinica 6, 113-127.
•Huang, L.-S. (1997). Testing goodness-of-fit based on a roughness measure. Journal of the American Statistical Association 92, 1399-1402.
•Huang, L.-S. and Fan J. (1999). Nonparametric estimation of quadratic regression functionals. Bernoulli 5, 927-949.
•Huang, L.-S. and Smith, R.L. (1999). Meteorological-dependent trends in urban ozone. Environmetrics 10, 103-118.
•Fan, J. and Huang, L.-S. (1999). Rates of convergence for the pre-asymptotic substitution bandwidth selector. Statistics and Probability Letters 43, 309-316.
•Huang, L.-S. (2001). Testing the adequacy of a linear model via critical smoothing. Journal of Statistical Computation and Simulation 68, 281-294.
•Hall, P., Huang, L.-S., Gifford, J. and Gijbels, I. (2001). Nonparametric estimation of hazard rate under the constraint of monotonicity. Journal of Computational and Graphical Statistics 10, 592-614.
•Hall, P. and Huang, L.-S. (2001). Nonparametric kernel regression subject to monotonicity constraints. Annals of Statistics 29, 624-647.
•Fan, J. and Huang, L.-S. (2001). Goodness-of-fit tests for parametric regression models. Journal of the American Statistical Association 96, 640-652.
•Huang, L.-S. (2001). A roughness-penalty view of kernel smoothing. Statistics and Probability Letters 52, 85-89.
•Hall, P. and Huang, L.-S. (2002). Unimodal density estimation using kernel methods. Statistica Sinica 12, 965-990.
•Myers, G.J., Davidson, P., Cox, C., Shamlaye, C., Palumbo, D., Cernuchiarti, E., Sloane-Reeves, J., Wilding, G. E., Kost, J., Huang, L.-S., and Clarkson, T. (2003). Prenatal methylmercury exposure from ocean fish consumption in the Seychelles child development study. Lancet 361, 1686-1692.
•Huang, L.-S., Cox, C., Wilding, G.E., Myers, G.J., Davidson, P., Cernuchiarti, E., Sloane-Reeves, J., Shamlaye, C. and Clarkson, T. (2003). Using measurement error models to assess effects of prenatal and postnatal methylmercury exposure in the Seychelles child development study. Environmental Research 93, 115-122.
•Huang, L.-S., Wang, H., and Cox, C. (2005). Assessing interaction effects in linear measurement error models. Journal of the Royal Statistical Society Series C Applied Statistics 1, 21-30.
•Braun, W. J. and Huang, L.-S. (2005). Kernel spline regression. Canadian Journal of Statistics 33, 259-278.
•Huang, L.-S., Cox, C., Myers, G.J., Davidson, P., Cernuchiarti, E., Sloane-Reeves, J., Shamlaye, C. and Clarkson, T. (2005). Exploring nonlinear association between prenatal methylmercury exposure from fish consumption and child development: Evaluation of the Seychelles Child Development Study nine-year data using semiparametric additive models. Environmental Research 97, 100-108.
•Huang, L.-S., Myers, G.J., Davidson, P.W., Cox, C., Xiao, F., Thurston, S.W., Cernuchiarti, E., Shamlaye, C.F., Sloane-Reeves, J., Georger L. and Clarkson, T.W. (2007). Is susceptibility to prenatal methylmercury exposure from fish consumption non-homogeneous? Tree-structured analysis for the Seychelles child development study. NeuroToxicology, 28, 1237-1244.
•Huang, L.-S. and Chen, J. (2008). Analysis of variance, coefficient of determination, and F-test for local polynomial regression. Annals of Statistics, 36, 2085-2109.
•He, H. and Huang, L.-S. (2009). Double-smoothing for bias reduction in local linear regression. Journal of Statistical Planning and Inference, 139, 1056-1072.
•Huang, L.-S. and Su, H. (2009). Nonparametric F-tests for nested global and local polynomial models. Journal of Statistical Planning and Inference, 139, 1372-1380.
•Huang, L.-S. and Davidson, P.W. (2010). Analysis of Variance and F-Tests for Partial Linear Models with Applications to Environmental Health Data. Journal of the American Statistical Association, http://pubs.amstat.org/doi/pdf/10.1198/jasa.2010.ap08274
•Lynch, M.L., Huang, L.-S., Cox, C., Davidson, P.W., Strain, J.J., Myers, G.J., Bonham, M.P., Shamlaye, C.F., Stokes-Riner, A., Wallace, J.M.W., Duffy, E.D. and Clarkson, T.W. (2011) Varying coefficient function models to explore interactions between maternal nutritional status and prenatal methylmercury toxicity in the Seychelles Child Development Nutrition Study. Environmental Research, 111, 75-80.
•Huang, L.-S. and Chan, K.-S. (2014) Local polynomial and penalized trigonometric series regression. Statistica Sinica, 24, 1215-1238.
•Hanin, L., and Huang, L.-S. (2014) Identifiability of cure models revisited. Journal of Multivariate Analysis, 130, 261-274.
•Gao, H.-H. and Huang, L.-S. (2016) Sample size planning for testing significance of curves. Journal of Applied Statistics, 43, 2019-2028.