Publications
Last updated on Nov 07, 2023
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∗ (2023). Multi-feature Clustering of Step Data using Multivariate Functional Principal Component Analysis, Statistical Papers, accepted.
MJ Kim, H-S Oh, and Y. Lim∗ (2023). Zero-inflated time-series clustering via ensemble thick-pen transform, Journal of Classification, 1–25.
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.