Sookmyung Statistics
Professor
Noh, Hohsuk

RESEARCH & PUBLICATIONS
line
Research Interests
Statistical Learning
Productivity Analysis
Function Estimation
Dependence Modeling
Publications
Cho, G. and Noh, H. (2018). Parallelism point selection in nested parallelism situationswith focus on bandwidth selection problem, to appear in The Korean Journal of Applied Statistics
Yoon, D. and Noh, H. (2017). Estimation of smooth monotone frontier function understochastic frontier model, The Korean Journal of Applied Statistics, 30, 665-679.
Daouia, A., Noh, H. and Laurent, T. (2017). npbr: a package for nonparametric boundary regression in R, Journal of Statistical Software, 79, 1-43.
Noh, H., Song J. and Cho, H. (2016). Visualization in the assessment of construct validity,The Korean Journal of Applied Statistics, 29, 381-388.
Neumeyer, N., Noh, H. and Van Keilegom, I. (2016). Heteroscedastic semiparametric transformationmodels: estimation and testing for validity, Statistica Sinica, 26, 925-954.
Daouia, A., Noh, H. and Park, B.U. (2016) Data envelope fitting with constrained polynomial splines, Journal of the Royal Statistical Society-Series B, 78, 3-30.
Noh, H., El Ghouch, A. and Van Keilegom, I. (2015). Semiparametric conditional quantile estimation through copula-based multivariate models, Journal of Business & EconomicStatistics, 33, 167-178.
Noh, H. (2014) Frontier estimation using kernel smoothing with data transformation, Journal of the Korean Statistical Society, 43, 503-512.
Noh, H. and Lee, E. R. (2014). Component selection in additive quantile regression models, Journal of the Korean Statistical Society, 43, 439-452.
Lee, E. R., Noh, H. and Park, B. U. (2014). Model selection via Bayesian information criterion in quantile regression models, Journal of the American Statistical Association,109, 216-229.
Noh, H., El Ghouch, A. and Bouezmarni, T. (2013). Copula-based regression estimation and inference, Journal of the American Statistical Association, 108, 676-688.
Noh, H., El Ghouch, A. and Van Keilegom, I. (2013). Quality of fit measures in the framework of quantile regression, Scandinavian Journal of Statistics, 40, 105-118.
Noh, H., El Ghouch, A. and Van Keilegom, I. (2013). Assessing model adequacy in possibly misspecified quantile regression, Computational Statistics and Data Analysis, 57, 558-569.
Noh, H. and Van Keilegom, I. (2012). Efficient model selection in semivarying coefficient models, Electronic Journal of Statistics, 6, 2519-2534.
Noh, H., Chung, K. and Van Keilegom, I. (2012). Variable selection of varying coefficient models in quantile regression, Electronic Journal of Statistics, 6, 1220-1238.
Noh, H. and Kwon, S. H. (2011). Penalty conditions guaranteeing oracle property for penalized estimator, Quantitative Bio-Science, 30, 129-134.
Noh, H. and Park, B. U. (2010). Sparse varying coefficient models for longitudinal data, Statistica Sinica, 20, 1183–1202.
Papers Completed
Nam, J.-S., Lee, J., Lee, K.-H., Yang, Y., Kim, S.-H., Bae, G.-U., Noh, H. and Lim, K.-I. (2018). Insertion of zinc fingers into integrase alters the integration patterns and proviral ends of MLV
Kim, G.-H., Oh, J.-W., Noh, H., Choi, H.,Oh, J., Lee, J.-H., Lin, M. and Nam, J.-M. (2018). Modeling multimeric Nanoparticle Assembly
Bocart, F. and Noh, H. (2013). Investment in Art Companies: a Proxy for Physical Art?
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