- Research Interests
- Statistical Learning
- Productivity Analysis
- Function Estimation
- Dependence Modeling
- Publications
- 1. International Journal
- Jang, H., Kim, J.M. and Noh, H. (2023+) Vine Copula Granger Causality in Quantiles, Applied Economics, to appear.
- Noh, H., Jang, H. and Yang, C. (2023+) Forecasting Korean Stock Returns with Machine Learning, Asia-Pacific Journal of Financial Studies, to appear.
- Noh, H., Jang, H., Kim, K.H. and Kim, J.-M. (2023) Nonparametric Directional Dependence Estimation and Its Application to Cryptocurrency, Axiom, 12, 293.
- Jang, H., Kim, J.M. and Noh, H. (2022) Vine Copula Granger Causality in Mean, Economic Modeling, 109, 105798.
- Yang, Y., Lee, J.-E., Jeong, H.-Y., Shim, J.-Y., Baek, M.-J., Son, M.-J., Kim, Y.-J.,Noh, H. and Lim, K.-I. (2020). Alteration of gammaretroviral vector integration patterns by insertion of histone and leucine zipper into integrase, Biotechnology and Bioengineering, 117, 3924-3937
- Noh, H. and Yang, S. J. (2020). Comparing groups of decision-making units in efficiency based on semiparametric regression, Mathematics, 8, 233.
- Noh, H. and Van Keilegom, I. (2020). On Relaxing the Distributional Assumption of Stochastic Frontier Models, Journal of the Korean Statistical Society, 49,1–14.
- Kim, G.-H., Oh, J.-W., Noh, H., Choi, H.,Oh, J., Lee, J.-H., Lin, M. and Nam, J.-M.(2019). Statistical Modeling of Ligand-Mediated Multimeric Nanoparticle Assembly, Journal of Physical Chemistry C, 123, 21195-21206.
- Jang, Y.-H., Park, Y.-S., Nam, J.-S.,Ynag, Y., Lee J.-E., Lee, K.-H., Kang M.,Chialastri, A., Noh, H., Park, J., Lee, J.S. and Lim., K.-I. (2019). Nanotopography-based engineering of retroviral DNA integration patterns,Nanoscale, 11, 5693-5704.
- Nam, J.-S., Lee, J., Lee, K.-H., Yang, Y., Kim, S.-H., Bae, G.-U., Noh, H. and Lim, K.-I. (2019). Shifting Retroviral Vector Integrations Away from Transcriptional Start Sites via DNA-Binding Protein Domain Insertion into Integrase, Molecular Therapy-Methods & Clinical Development, 12, 58-70.
- Daouia, A., Noh, H. and Laurent, T. (2017). npbr: A Package for Nonparametric Boundary Regression in R, Journal of Statistical Software, 79, 1-43.
- Neumeyer, N., Noh, H. and Van Keilegom, I. (2016). Heteroscedastic semiparametric transformation models: estimation and testing forvalidity, 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 & Economic Statistics, 33, 167-178. (invited paper for JBES invited Session in JSM 2014)
- 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 Park, B. U. (2010). Sparse Varying Coefficient Models for Longitudinal Data, Statistica Sinica, 20, 1183-1202.
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- 2. Domestic Journal
- Lee, M. and Noh, H. (2019). Prediction of arrhythmia using multivariate timeseries data, The Korean Journal of Applied Statistics, 32, 671–681
- Cho, G. and Noh, H. (2018). Parallelism point selection in nested parallelism situations with focus on bandwidth selection problem, The Korean Journal of Applied Statistics, 31, 383-396.
- Yoon, D. and Noh, H. (2017). Estimation of smooth monotone frontier function under stochastic frontier model, The Korean Journal of Applied Statistics, 30, 665-679.
- Noh, H., Song J. and Cho, H. (2016). Visualization in the assessment of construct validity, The Korean Journal of Applied Statistics, 29, 381-388.
- Noh, H. and Kwon, S. H. (2011). Penalty Conditions Guaranteeing Oracle Property for Penalized Estimator, Quantitative Bio-Science, 30, 129-134.
