Publications

Last updated on Apr 03, 2026

Working Papers

• Wavelet Factor model 

• Wasserstein regression

• Prediction Birth Weight by Multivariate Functional Principal Component Regressions - submitted

• PM10 prediction in South Korea via ensemble tree-based methods 

• Extreme Quantile Estimation via functional Single Index Models and Generalized Pareto Tail Approximation - submitted

Selected Publications

For a complete list of publications, see my CV.

• TY Kim, H-S Oh, and Y. Lim  (2026). Forecasting High-Dimensional Non-Normal Time Series Using Averaged Quantile Regression. Journal of Time Series Econometrics.  18(1), 49-61.

• Y. Lim, Kim, H.J. and Hwang, B.S. (2025). Nonparametric Bayesian latent class model for longitudinal zero-inflated count data. Journal of Nonparametric Statistics. In press.

• Y. Lim and Y Park, (2025). Enhancing Air Quality Forecasting with Functional Neural Networks: A Case Study of PM2.5 in Seoul, Atmospheric Pollution Research, 102732

• Y. Lim, Lu, R., Ville, M. S., and Chen, Z.(2025). Bayesian additive tree ensembles for composite quantile regressions. Statistics and Computing. 35, 175. 

• Park, S., Y. Lim, and H-S Oh (2025). Combined quantile forecasting for high-dimensional non-Gaussian data. Environmetrics. 36(6). 

• TH Kim and Y. Lim∗ (2024). Environmental Spillovers and Local Agglomeration: Evidence from Large Plant Openings.  Journal of Behavioral and Experimental Finance, 43, 100968.

•  Y Park, H-S Oh, and Y. Lim∗ (2024). A data-adaptive dimension reduction for functional data via penalized low-rank approximation, Statistics and Computing, 34, 36.

• WK Song, H-S Oh, Cheung, Y. K., and Y. Lim∗ (2024). Multi-feature Clustering of Step Data using Multivariate Functional Principal Component Analysis, Statistical Papers, 65(4), 2109-2134.

•  MJ Kim, H-S Oh, and Y. Lim∗ (2023). Zero-inflated time-series clustering via ensemble thick-pen transform, Journal of Classification, 40(2), 407-431.

• Y Park, HS Kim, and Y. Lim∗ (2023). Functional principal component analysis for partially observed elliptical process, Computational Statistics & Data analysis, 84, 107745.

• HS Kim and Y. Lim∗(2023). Functional clustering on a sphere via Riemannian functional principal components. Stat, e557.

• Y. Lim and H-S. Oh (2022). Quantile Spectral Analysis of Long-Memory Processes. Empirical Economics, 62, 1245-1266.

• H Kim and Y. Lim∗ (2022). Bootstrap aggregated classification for sparse functional data. Journal of Applied Statistics, 49(8), 2052-2063.

• S. Kang and Y. Lim∗ (2021). Ensemble Mapper. Stat. 10(1), e405.

• Y. Lim, Kwon, J. and H-S. Oh (2021). Principal Component Analysis in the Wavelet Domain. Pattern recognition. 108096.

• Kim, J., Park, S., Kwon, J., Y. Lim, and H-S. Oh (2021). Estimation of spatio-temporal extreme distribution using a quantile factor model. Extremes, 24(1), 177-195.

• Jang, J. Y., H-S. Oh, Y. Lim, and Cheung, Y. K. (2021). Ensemble clustering for step data via binning. Biometrics, 77(1), 293–304.

• Y. Lim and H-S. Oh (2021). Robust Coherence Analysis for Long-Memory Processes. Applied Economics Letters, 28(5), 335–342.

• Y. Lim, H-S. Oh and Y. Kuen (2020). A generalization of functional clustering for discrete multivariate longitudinal data. Statistical methods in medical research, 29(11), 3205–3217.

• Y. Lim (2020). GEE approach to estimating accuracy and its confidence intervals for correlated data. Pharmaceutical Statistics. 19(1), 59–70.

• J-H Kwon, H-S. Oh and Y. Lim∗ (2020). Dynamic Principal Component Analysis with Missing Value. Journal of Applied Statistics, 47(11), 1957–1969. 2019

• Y. Lim, H-S. Oh and Y. Kuen (2019). Multiscale Clustering for Functional Data. Journal of Classification. 36(2). 368–391.

• Y. Lim, H-S. Oh and Y. Kuen (2019). Functional Clustering of Accelerometer Data via Transformed Input Variables. Journal of the Royal Statistical Society C, 68(3), 495–520.

• Y. Lim, Choi, J. S., et. al (2019). Comparative analysis of diagnostic procedures for tumor detection rates in paired data. Statistical methods in medical research, 28(5), 1477–1488.

• Y. Lim and Eun Sook Ko, et.al (2018) Radiomics Signature on Magnetic Resonance Imaging: Association with Disease-Free Survival in Patients with Invasive Breast Cancer. Clinical Cancer Research, pp.clincanres-3783. 

• J-P Kim, H-S. Oh, and Y. Lim∗ (2017). Seasonal Precipitation Prediction via Data-Adaptive Principal Component Regression. International Journal of Climatology, 37(S1), 75-86.

• Y. Lim and H-S. Oh (2016). Composite quantile periodogram for spectral analysis. Journal of Time Series Analysis, 37, 195–221.

• Y. Lim and H-S. Oh (2016). A Data-Adaptive Principal Component Analysis: Use of Composite Asymmetric Huber Function. Journal of Computational and Graphical Statistics, 25(4), 1230-1247. 

Biological Applications

• Kim, H. M., Lee, H., Y. Lim, and Cho, G. Y. (2025). Strain-Volume Loop Dynamics: A Novel Perspective on Left Ventricular Dysfunction. Korean Circulation Journal, 56. 

• Kim, Y., Park, S., Choi, Y.M., Yoon, B.H., Kim, S.H., Park, J., Oh, H.J., Y. Lim, Lee, J. and Park, B., (2025). Exploring patterns of multimorbidity in South Korea using exploratory factor analysis and non negative matrix factorization. Scientific reports, 15(1), p.9885. 

• Park, E. J., Kim, H., and Y. Lim, et.al. (2024). Effect of motivated physicians and elderly patients with hypertension or type 2 diabetes mellitus in prepared communities on health behaviours and outcomes: A population-based PS matched retrospective cohort study during five-year follow-up period. Plos one, 19(2), e0296834. 

• Kim, C. H., Chang, J. S., and Y. Lim, et.al. (2023). Safety of urgent surgery for the patients with proximal femur fracture treated with platelet aggregation inhibitors: a propensity-score matching analysis. European Journal of Trauma and Emergency Surgery, 1-12. 

• Park, J. Y., Choe, Y. J., and Y. Lim, et.al. (2023). Association between the incidence of type 1 diabetes mellitus and tuberculosis or bacillus Calmette-Gu´erin immunization in children and adolescents. Annals of Pediatric Endocrinology & Metabolism, 28(4), 251. 

• Koh, Hee Byung and Y. Lim, et.al. (2023). Risk improvement and adverse kidney outcomes in patients with chronic kidney disease: findings from KNOW-CKD. Journal of Nephrology, 36(3). 767-776. 

• Choi, S. H., and Y. Lim, et.al. (2023). Immune responses after vaccination with primary 2-dose ChAdOx1 plus a booster of BNT162b2 or vaccination with primary 2-dose BNT162b2 plus a booster of BNT162b2 and the occurrence of omicron breakthrough infection. Journal of Korean Medical Science, 38(20). 

•  Kim, Y., and Y. Lim, et.al. (2023). Comparison between Conventional Breath-hold and Respiratorytriggered Magnetic Resonance Cholangiopancreatography with and without Compressed Sensing: Cross-sectional Study. Current Medical Imaging, 20(1), E280323215033. 

• BM Seong, and Y. Lim, et.al. (2023). A study on changes in lung function, neutralizing antibodies, and symptoms of adult patients hospitalized with COVID-19. Korean J Intern Med, 38(1), 101-112. 

• Cho, g., and Y. Lim, et.al. (2023). Prediction of Deterioration of Left Ventricular Function using 3- Dimensional Speckle-Tracking Echocardiography in Patients with Left Bundle Branch Block. Journal of the American Heart Association, 12(1), e026194. 

• Baek, M. S., Kim, J. H., Y. Lim, and Kwon, Y. S. (2022). Neuromuscular blockade in mechanically ventilated pneumonia patients with moderate to severe hypoxemia: A multicenter retrospective study. Plos one, 17(12), e0277503. 

• JH Park and Y. Lim, et.al. (2022). Relationship between SARS-CoV-2 antibody titer and the severity of COVID-19. Journal of Microbiology, Immunology and Infection, 55(6), 1094-1100. 

• Park, K. W., and Y. Lim, et.al. (2020). The role of histogram analysis of grayscale sonograms to differentiate thyroid nodules identified by 18F-FDG PET-CT. Medicine, 99(48). 

• Hahn, S. Y., and Y. Lim, et.al. (2020). Comparison Between fine needle Aspiration and core needle Biopsy for the Diagnosis of thyroid Nodules: Effective Indications According to US Findings. Scientific reports, 10(1), 1–7. 

• Yang, S. Y., and Y. Lim, et al. (2020). Comparison of ultrasonography and CT for preoperative nodal assessment of patients with papillary thyroid cancer: diagnostic performance according to primary tumor size. Acta Radiologica, 61(1), 21–27. 

• Seo Yeon Hahn and Y. Lim, et al. (2019). Prediction of Follicular Thyroid Carcinoma Associated with Distant Metastasis in the Preoperative and Postoperative Model. Head & Neck, 41(8), 2507-2513. 

• Nam, K. J. and Y. Lim, et al. (2019). Radiomics signature on 3T dynamic contrast-enhanced magnetic resonance imaging for estrogen receptor-positive invasive breast cancers: Preliminary results for correlation with Oncotype DX recurrence scores. Medicine, 98(23), e15871. 

• Nam, Sang Yu and Y. Lim, et al. (2018). Preoperative dynamic breast magnetic resonance imaging kinetic features using computer-aided diagnosis: Association with survival outcome and tumor aggressiveness in patients with invasive breast cancer. PloS one. 13(4), e0195756. 

• Kwon, M. R. and Y. Lim, et al. (2018). Histogram analysis of greyscale sonograms to differentiate between the subtypes of follicular variant of papillary thyroid cancer. Clinical radiology, 73(6), 591-e1.

• Seo Yeon Hahn and Y. Lim, et al. (2017). Role of Ultrasound in Predicting Tumor Invasiveness in Follicular Variant of Papillary Thyroid Carcinoma. Thyroid, 27(9), 1177-1184. 

• Young Kon Kim and Y. Lim, et al. (2017). Reducing Artifacts during Arterial Phase of Gadoxetate Disodiumanhanced MR Imaging: Dilution Method versus Reduced Injection Rate. Radiology, 283(2), p.160241.

• Eun Sook Ko and Y. Lim, et al. (2017). Breast Cancer Heterogeneity: MR Imaging Texture Analysis and Survival Outcomes. Radiology, 282(3), p.160261. 

• Kang B., and Y. Lim, et al. (2017). Baseline Wall Thickness is Lower in Mucosa Healed Segments 1 Year After Infliximab in Pediatric Crohn’s Disease Patients. Journal of Pediatric Gastroenterology and Nutrition, 64(2), 279–285. 

• Eun Sook Ko and Y. Lim, et al. (2016) Analysis of factors influencing the degree of detectability on diffusion-weighted MRI and diffusion background signals in patients with invasive breast cancer, Medicine, 95(27). 

• Eun Sook Ko and Y. Lim, et al. (2016). Prognostic significance of transverse relaxation rate (R2*) in blood oxygenation level-dependent magnetic resonance imaging in patients with invasive breast cancer. PLOS ONE, 11(7), e0158500. 

• Rihwa Choi and Y. Lim, et.al (2016). A prospective study on serum methylmalonic acid and homocysteine in pregnant women in relation to pregnancy and neonatal outcomes. Nutrients, 8(12) p.797. 

• Eun Sook Ko and Y. Lim, et al. (2016). Assessment of Invasive Breast Cancer Heterogeneity Using Whole-Tumor Magnetic Resonance Imaging Texture Analysis: Correlations with Pathological Findings. Medicine, 95(3), p.e2453. 

• Rihwa Choi, H-T. Kim, Y. Lim, M-J. Kim, O. Kwon, K. Jeon, H-Y. Park, B-H. Jeong, W-J. Koh and S-Y Lee (2015). Serum Concentrations of Trace Elements in Patients with Tuberculosis and its Association with Treatment Outcome. Nutrients, 7(7), 5969–5981.