Hee‐Seok Oh

发表

Smoothly Clipped Absolute Deviation on High Dimensions

Yongdai Kim, Hosik Choi, Hee‐Seok Oh, 2008 .

Robust principal component analysis via ES-algorithm

Hee‐Seok Oh, Yaeji Lim, Yeonjoo Park, 2014 .

Variational Mode Decomposition with Missing Data

Youngjo Lee, Hee‐Seok Oh, Guebin Choi, 2015 .

Period analysis of variable stars by robust smoothing

D. Nychka, Hee‐Seok Oh, P. Charbonneau, 2004 .

Variable selection in quantile regression when the models have autoregressive errors

Hee-Seok Oh, Yaeji Lim, Hee‐Seok Oh, 2014 .

The Role of Pseudo Data for Robust Smoothing with Application to Wavelet Regression

Douglas W. Nychka, Hee-Seok Oh, Thomas C.M. Lee, 2007 .

Hybrid wavelet denoising procedure of discontinuous surfaces

Hee-Seok Oh, Philippe Naveau, Donghoh Kim, 2011 .

Bayesian automatic polynomial wavelet regression

Hyoung-Moon Kim, Hee‐Seok Oh, 2008 .

A generalization of functional clustering for discrete multivariate longitudinal data

Hee‐Seok Oh, Y. Cheung, Yaeji Lim, 2020, Statistical methods in medical research.

Multi-resolution time series analysis applied to solar irradiance and climate reconstructions

Hee-Seok Oh, Philippe Naveau, Caspar M. Ammann, 2003 .

A fast wavelet approach for recovering damaged images

Youngjo Lee, Hee‐Seok Oh, Donghoh Kim, 2008 .

Polynomial boundary treatment for wavelet regression

Hee-Seok Oh, Philippe Naveau, P. Naveau, 2001 .

An improvement of seasonal climate prediction by regularized canonical correlation analysis

Jaeyong Lee, Hee‐Seok Oh, Yaeji Lim, 2012 .

A Multi-Resolution Approach to Non-Stationary Financial Time Series Using the Hilbert-Huang Transform

Hee‐Seok Oh, Donghoh Kim, J. H. Suh, 2009 .

Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure

Hee‐Seok Oh, Kyusoon Kim, Minsu Park, 2022, Environmetrics.

Confidence intervals for nonparametric quantile regression: an emphasis on smoothing splines approach

Hee‐Seok Oh, Yaeji Lim, 2017 .

Moving sum procedure for change point detection under piecewise linearity

Hee‐Seok Oh, Haeran Cho, Joonpyo Kim, 2022, 2208.04900.

Functional Data Classification of Variable Stars

Hee‐Seok Oh, Donghoh Kim, S. Cho, 2013 .

Identifying local smoothness for spatially inhomogeneous functions

P. Naveau, Hee‐Seok Oh, Dongik Jang, 2016, Computational Statistics.

Simultaneous confidence interval for quantile regression

Hee‐Seok Oh, Yaeji Lim, 2014, Computational Statistics.

Estimation of spatio-temporal extreme distribution using a quantile factor model

Hee‐Seok Oh, Yaeji Lim, Junhyeon Kwon, 2021, Extremes.

Quantile spectral analysis of long-memory processes

Hee‐Seok Oh, Yaeji Lim, 2021, Empirical Economics.

Multiscale Clustering for Functional Data

Hee‐Seok Oh, Yaeji Lim, Ying Kuen Cheung, 2019, Journal of Classification.

Pseudo-quantile functional data clustering

Hee-Seok Oh, Joonpyo Kim, Hee‐Seok Oh, 2020, J. Multivar. Anal..

Spherical Principal Curves

Hee-Seok Oh, Jang-Hyun Kim, Jongmin Lee, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Robust Geodesic Regression pdf

Hee-Seok Oh, Ha-Young Shin, Hee‐Seok Oh, 2020, International Journal of Computer Vision.

A Data-Adaptive Principal Component Analysis: Use of Composite Asymmetric Huber Function

Hee-Seok Oh, Yaeji Lim, Hee‐Seok Oh, 2016 .

Independent component regression for seasonal climate prediction: an efficient way to improve multimodel ensembles

Hee-Seok Oh, Hyun-Suk Kang, Yaeji Lim, 2015, Theoretical and Applied Climatology.

Prediction of East Asian summer precipitation via independent component analysis

Jaeyong Lee, Hee‐Seok Oh, Yaeji Lim, 2012, Asia-Pacific Journal of Atmospheric Sciences.

Particulate Matter Prediction using Quantile Boosting

Hee-Seok Oh, Yaeji Lim, Junhyeon Kwon, 2015 .

Random effect models for variable selection

Youngjo Lee, Hee‐Seok Oh, 2008 .

A recipe for robust estimation using pseudo data

Jaeyong Lee, Hee‐Seok Oh, Donghoh Kim, 2008 .

Quantile-Based Empirical Mode Decomposition: An Efficient Way to Decompose Noisy Signals

Hee-Seok Oh, Minsu Park, Donghoh Kim, 2015, IEEE Transactions on Instrumentation and Measurement.

Extending the scope of empirical mode decomposition by smoothing

Kyungmee O. Kim, Hee-Seok Oh, Donghoh Kim, 2012, EURASIP J. Adv. Signal Process..

Sparse Bayesian representation in time–frequency domain

Yongdai Kim, Gwangsun Kim, Hee‐Seok Oh, 2015 .

The role of functional data analysis for instantaneous frequency estimation

Hee-Seok Oh, Minjeong Park, Sinsup Cho, 2013, Comput. Stat..

Lévy Adaptive B-spline Regression via Overcomplete Systems

Hee-Seok Oh, Sewon Park, Jaeyong Lee, 2021, Statistica Sinica.

Spatio-temporal analysis of particulate matter extremes in Seoul: use of multiscale approach

Hee‐Seok Oh, Seon-yi Park, 2017, Stochastic Environmental Research and Risk Assessment.

Fast Nonparametric Quantile Regression With Arbitrary Smoothing Methods

Douglas W. Nychka, Hee-Seok Oh, Thomas C.M. Lee, 2011 .

EPT: An R package for ensemble patch transform

Hee-Seok Oh, Donghoh Kim, Guebin Choi, 2021, SoftwareX.

Ensemble patch transformation: a flexible framework for decomposition and filtering of signal

Hee-Seok Oh, Donghoh Kim, Guebin Choi, 2020, EURASIP J. Adv. Signal Process..

Ensemble Patch Transformation: A New Tool for Signal Decomposition

Hee-Seok Oh, Donghoh Kim, Guebin Choi, 2019, 1904.03643.

Enhancement of variational mode decomposition with missing values

Hee-Seok Oh, Donghoh Kim, Guebin Choi, 2018, Signal Process..

Empirical mode decomposition with missing values

Hee-Seok Oh, Donghoh Kim, Hee‐Seok Oh, 2016, SpringerPlus.

Signal Reconstruction by Synchrosqueezed Wavelet Transform

Hee-Seok Oh, Minsu Park, Donghoh Kim, 2015 .

Introduction to Linear Regression Analysis, 5th edition by MONTGOMERY, DOUGLAS C., PECK, ELIZABETH A., and VINING, G. GEOFFREY

Hee-Seok Oh, Hee‐Seok Oh, 2013 .

Automatic polynomial wavelet regression

Hee-Seok Oh, Thomas C. M. Lee, Thomas C.M. Lee, 2004, Stat. Comput..

Thick pen transformation for time series

Piotr Fryzlewicz, Hee-Seok Oh, P. Fryzlewicz, 2011 .

Principal component analysis in the wavelet domain

Hee-Seok Oh, Yaeji Lim, Junhyeon Kwon, 2021, Pattern Recognit..

Robust coherence analysis for long-memory processes

Yaeji Lim, Hee-Seok Oh, Hee‐Seok Oh, 2020 .

Robust penalized regression spline fitting with application to additive mixed modeling

Hee-Seok Oh, Thomas C. M. Lee, Thomas C.M. Lee, 2007, Comput. Stat..

Extending the Scope of Automatic Time Series Model Selection: The Package autots for R

Hee-Seok Oh, Donghoh Kim, Dong-Ik Jang, 2011 .

Forecasting South Korea’s presidential election via multiparty dynamic Bayesian modeling

Hee‐Seok Oh, Seung-Jong Kang, 2023, International Journal of Forecasting.

Simultaneous confidence interval for quantile regression

Hee-Seok Oh, Yaeji Lim, Hee‐Seok Oh, 2015, Comput. Stat..

Image decomposition by bidimensional ensemble patch transform

Hee-Seok Oh, Donghoh Kim, Hee‐Seok Oh, 2020, Pattern Recognit. Lett..

Future Weather Generation with Spatio-Temporal Correlation for the Four Major River Basins in South Korea

Jaeyong Lee, Hee‐Seok Oh, Youngjo Lee, 2012 .

Improved multisite stochastic weather generation with applications to historical data in South Korea

Donghwan Lee, Hee-Seok Oh, Youngjo Lee, 2010 .

Estimation of spatio-temporal extreme distribution using a quantile factor model

Hee‐Seok Oh, Joonpyo Kim, Yaeji Lim, 2021 .

Bidimensional Statistical Empirical Mode Decomposition

Hee-Seok Oh, Minjeong Park, Donghoh Kim, 2012, IEEE Signal Processing Letters.

A Reinterpretation of EMD by cubic spline interpolation

Hee-Seok Oh, Minjeong Park, Donghoh Kim, 2011, Adv. Data Sci. Adapt. Anal..

Reliability functions estimated from commonly used yield models

Kyungmee O. Kim, Hee-Seok Oh, Kyungmee O. Kim, 2008, Microelectron. Reliab..

Functional clustering of accelerometer data via transformed input variables

Hee-Seok Oh, Yaeji Lim, Ying Kuen Cheung, 2018, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Dynamic principal component analysis with missing values

Hee‐Seok Oh, Yaeji Lim, Junhyeon Kwon, 2019, Journal of applied statistics.

Solar forcing and climate : A multi-resolution analysis

D. Nychka, B. Otto‐Bliesner, P. Naveau, 2002 .

A Survey of Measurement-Based Spectrum Occupancy Modeling for Cognitive Radios

Yunfei Chen, Hee-Seok Oh, Yunfei Chen, 2016, IEEE Communications Surveys & Tutorials.

A new sparse variable selection via random-effect model

Hee-Seok Oh, Youngjo Lee, Youngjo Lee, 2014, J. Multivar. Anal..

The twentieth century contiguous US temperature changes indicated by daily data and higher statistical moments

D. Easterling, S. Shen, Hee‐Seok Oh, 2011 .

Seasonal precipitation prediction via data‐adaptive principal component regression

Hee‐Seok Oh, Joonpyo Kim, Yaeji Lim, 2017 .

Multiscale Clustering for Functional Data

Hee-Seok Oh, Yaeji Lim, Ying Kuen Cheung, 2019, J. Classif..

Polynomial wavelet regression for images with irregular boundaries

Hee-Seok Oh, Philippe Naveau, P. Naveau, 2004, IEEE Transactions on Image Processing.

Extending the scope of empirical mode decomposition by smoothing

Kyungmee O. Kim, Hee‐Seok Oh, Donghoh Kim, 2012, EURASIP Journal on Advances in Signal Processing.

Cross-validated wavelet shrinkage

Hee-Seok Oh, Youngjo Lee, Donghoh Kim, 2009, Comput. Stat..

Robust spherical principal curves

Hee‐Seok Oh, Jongmin Lee, 2023, Pattern Recognit..

Intrinsic Pattern Preserving Boundary Treatment Method for Empirical Mode Decomposition

Hee-Seok Oh, Donghoh Kim, Hee‐Seok Oh, 2016, Adv. Data Sci. Adapt. Anal..

Empirical Mode Decomposition using the Second Derivative

Hee-Seok Oh, Minsu Park, Donghoh Kim, 2013 .

Ensemble clustering for step data via binning

Yaeji Lim, Ying Kuen Cheung, Hee-Seok Oh, 2020, Biometrics.

Multimodel ensemble forecasting of rainfall over East Asia: regularized regression approach

Hee-Seok Oh, Hyun-Suk Kang, Yaeji Lim, 2014 .

Robust wavelet shrinkage using robust selection of thresholds

Yongdai Kim, Hee-Seok Oh, Donghoh Kim, 2009, Stat. Comput..

An Automatic Statistical Methodology to Extract Pulse‐Like Forcing Factors in Climatic Time Series: Application to Volcanic Events

P. Naveau, Hee‐Seok Oh, Wensheng Guo, 2013 .

A New P‐Wave Detector via Moving Empirical Cumulative Distribution Function

Hee-Seok Oh, Junhyeon Kwon, Taemin Heo, 2018, Bulletin of the Seismological Society of America.

Moving sum procedure for change point detection under piecewise linearity

Hee‐Seok Oh, Haeran Cho, Joonpyo Kim, 2022, Technometrics.