Showing results 1 to 60 of 88
A doubly sparse approach for group variable selection Kwon, Sunghoon; Ahn, Jeongyoun; Jang, Woncheol; Lee, Sangin; Kim, Yongdai, ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, v.69, no.5, pp.1 - 29, 2017-10 |
A framework for the targeted selection of herbs with similar efficacy by exploiting drug repositioning technique and curated biomedical knowledge Yea, Sang-Jun; Kim, Bu-Yeo; Kim, Chul; Yi, Mun Yong, JOURNAL OF ETHNOPHARMACOLOGY, v.208, pp.117 - 128, 2017-09 |
A group comparison in fMRI data using a semiparametric model under shape invariance Samaddar, Arunava; Jackson, Brooke S.; Helms, Christopher J.; Lazar, Nicole A.; McDowell, Jennifer E.; Park, Cheolwoo, COMPUTATIONAL STATISTICS & DATA ANALYSIS, v.167, 2022-03 |
A hybrid modeling framework for efficient development of Fischer-Tropsch kinetic models Kim, Ji Hee; Rhim, Geun Bae; Choi, Naeun; Youn, Min Hye; Chun, Dong Hyun; Heo, Seongmin, JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY, v.118, pp.318 - 329, 2023-02 |
A note on multiple imputation for method of moments estimation Yang, S; Kim, Jae Kwang, BIOMETRIKA, v.103, no.1, pp.244 - 251, 2016-03 |
A review of multivariate distributions for count data derived from the Poisson distribution Inouye, David I.; Yang, Eunho; Allen, Genevera I.; Ravikumar, Pradeep, WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS, v.9, no.3, 2017-05 |
A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data Kim, Jae Kwang; Yu, Cindy Long, JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, v.106, no.493, pp.157 - 165, 2011-03 |
An iterative constrained least squares method for continuous piecewise linear approximation Kim, Ji Hee; Choi, Naeun; Heo, Seongmin, COMPUTERS & CHEMICAL ENGINEERING, v.168, 2022-12 |
An optimal network screening method of hotspot identification for highway crashes with dynamic site length Lee, Jinwoo; Chung, Koohong; Papakonstantinou, Ilia; Kang, Seungmo; Kim, Dong-Kyu, ACCIDENT ANALYSIS AND PREVENTION, v.135, 2020-02 |
Analysis of crash frequency using a Bayesian underreporting count model with spatial correlation Zeng, Qiang; Wen, Huiying; Huang, Helai; Wang, Jie; Lee, Jinwoo, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v.545, 2020-05 |
Analysis of Long Period Variable Stars With Nonparametric Tests for Trend Detection Park, Cheolwoo; Ahn, Jeongyoun; Hendry, Martin; Jang, Woncheol, JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, v.106, no.495, pp.832 - 845, 2011-09 |
Asymptotic optimality of a multivariate version of the generalized cross validation in adaptive smoothing splines Kim, Heeyoung; Huo, Xiaoming, ELECTRONIC JOURNAL OF STATISTICS, v.8, pp.159 - 183, 2014 |
ATP Binding to Rad5 Initiates Replication Fork Reversal by Inducing the Unwinding of the Leading Arm and the Formation of the Holliday Junction Shin, Soochul; Hyun, Kwang Beom; Kim, Jaehoon; Hohng, Sungchul, CELL REPORTS, v.23, no.6, pp.1831 - 1839, 2018-05 |
Bankruptcy prediction using a discrete-time duration model incorporating temporal and macroeconomic dependencies Nam, CW; Kim, Tong Suk; Park, NJ; Lee, Hoe Kyung, JOURNAL OF FORECASTING, v.27, pp.493 - 506, 2008-09 |
Bayes shrinkage estimation for high-dimensional VAR models with scale mixture of normal distributions for noise Lee, Nam-Gil; Choi, Hyemi; Kim, Sung-Ho, COMPUTATIONAL STATISTICS & DATA ANALYSIS, v.101, pp.250 - 276, 2016-09 |
Business groups: entry barrier-innovation debate revisited Mahmood, IP; Lee, Chang-Yang, JOURNAL OF ECONOMIC BEHAVIOR ORGANIZATION, v.54, no.4, pp.513 - 531, 2004-08 |
Classification of histogram-valued data with support histogram machines Kang, Ilsuk; Park, Cheolwoo; Yoon, Young Joo; Park, Changyi; Kwon, Soon-Sun; Choi, Hosik, JOURNAL OF APPLIED STATISTICS, v.50, no.3, pp.675 - 690, 2023-02 |
Combining data from two independent surveys: a model-assisted approach Kim, Jae Kwang; Rao, J. N. K., BIOMETRIKA, v.99, no.1, pp.85 - 100, 2012-03 |
Combining Radiomics and Blood Test Biomarkers to Predict the Response of Locally Advanced Rectal Cancer to Chemoradiation Jeon, Seung Hyuck; Song, Changhoon; Chie, Eui Kyu; Kim, Bohyoung; Kim, Young Hoon; Chang, Won; Lee, Yoon Jin; et al, IN VIVO, v.34, no.5, pp.2955 - 2965, 2020-09 |
Conservative Surrogate Model Using Weighted Kriging Variance for Sampling-Based RBDO Zhao, Liang; Choi, K. K.; Lee, Ikjin; Gorsich, David, JOURNAL OF MECHANICAL DESIGN, v.135, no.9, 2013-09 |
Construction of exact D-optimal designs by tabu search Jung, JS; Yum, Bong-Jin, COMPUTATIONAL STATISTICS DATA ANALYSIS, v.21, no.2, pp.181 - 191, 1996-02 |
CORRECTING DATA CORRUPTION ERRORS FOR MULTIVARIATE FUNCTION APPROXIMATION Shin, Yeonjong; Xiu, Dongbin, SIAM JOURNAL ON SCIENTIFIC COMPUTING, v.38, no.4, pp.A2492 - A2511, 2016 |
Deep learning-based classification with improved time resolution for physical activities of children Jang, Yong Won; Kim, Seunghwan; Kim, Kiseong; Lee, Doheon, PEERJ, v.6, 2018-10 |
Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility Lee, Hoil; Ayed, Fadhel; Jung, Paul; Lee, Juho; Yang, Hongseok; Caron, Francois, JOURNAL OF MACHINE LEARNING RESEARCH, v.24, pp.1 - 78, 2023-09 |
Developing time-based clustering neural networks to use change-point detection: Application to financial time series Oh, Kyong Joo; Roh, Tae Hyup; Moon, Myung Sang, ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH, v.22, pp.51 - 70, 2005-03 |
Development of a prediction method for SAMG entry time in NPPs using the extended group method of data handling (GMDH) model No, Young Gyu; Lee, Chanyoung; Seong, Poong Hyun, ANNALS OF NUCLEAR ENERGY, v.121, pp.552 - 566, 2018-11 |
Development of computational models using omics data for the identification of effective cancer metabolic biomarkers Lee, Sang Mi; Kim, Hyun Uk, MOLECULAR OMICS, v.17, no.6, pp.881 - 893, 2021-12 |
Dimension-wise sparse low-rank approximation of a matrix with application to variable selection in high-dimensional integrative analyses of association Poythress, JC; Park, Cheolwoo; Ahn, Jeongyoun, JOURNAL OF APPLIED STATISTICS, v.49, no.15, pp.3889 - 3907, 2022-12 |
Do the production-based factors capture the time-varying patterns in stock returns? Kang, Hankil; Kang, Jangkoo; Lee, Changjun, EMERGING MARKETS REVIEW, v.15, pp.122 - 135, 2013-06 |
Dynamically scheduled MPC of nonlinear processes using hinging hyperplane models Chikkula, Y; Lee, JayHyung; Ogunnaike, BA, AICHE JOURNAL, v.44, no.12, pp.2658 - 2674, 1998-12 |
Effective reconstruction of insufficient JEM signals based on the CS method Yang, Woo Yong; Kim, H. J.; Park, J. H.; Bae, J. W.; Kim, C. H.; Myung, Noh-Hoon, JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS, v.29, no.6, pp.807 - 818, 2015-04 |
Effective simultaneous confidence bands for repeated measurements in linear mixed-effect models Mun, Jungwon; Chun, Hyonho, JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, v.84, no.8, pp.1748 - 1760, 2014-08 |
Efficient Learning of Image Super-Resolution and Compression Artifact Removal with Semi-Local Gaussian Processes Kwon, Younghee; Kim, Kwang In; Tompkin, James; Kim, Jin Hyung; Theobalt, Christian, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.37, no.9, pp.1792 - 1805, 2015-09 |
Estimating monthly total nitrogen concentration in streams by using artificial neural network He, Bin; Oki, Taikan; Sun, Fubao; Komori, Daisuke; Kanae, Shinjiro; Wang, Yi; Kim, Hyungjun; et al, JOURNAL OF ENVIRONMENTAL MANAGEMENT, v.92, no.1, pp.172 - 177, 2011-01 |
Feature Generation for Adaptive Gradient-Domain Path Tracing Back, Jonghee; Yoon, Sung-Eui; Moon, Bochang, COMPUTER GRAPHICS FORUM, v.37, no.7, pp.65 - 74, 2018-10 |
Folding Clothes Autonomously: A Complete Pipeline Doumanoglou, Andreas; Stria, Jan; Peleka, Georgia; Mariolis, Ioannis; Petrik, Vladimir; Kargakos, Andreas; Wagner, Libor; et al, IEEE TRANSACTIONS ON ROBOTICS, v.32, no.6, pp.1461 - 1478, 2016-12 |
Forecasting annual lung and bronchus cancer deaths using individual survival times Jun, Duk Bin; Kim, Kyunghoon; Park, Myoung Hwan, INTERNATIONAL JOURNAL OF FORECASTING, v.32, no.1, pp.168 - 179, 2016-01 |
Forecasting wind power quantiles using conditional kernel estimation Taylor, James W.; Jeon, Jooyoung, RENEWABLE ENERGY, v.80, pp.370 - 379, 2015-08 |
Frechet distance-based cluster analysis for multi-dimensional functional data Kang, Ilsuk; Choi, Hosik; Yoon, Young Joo; Park, Junyoung; Kwon, Soon-Sun; Park, Cheolwoo, STATISTICS AND COMPUTING, v.33, no.4, 2023-08 |
Gene Regulation Network Inference With Joint Sparse Gaussian Graphical Models Chun, Hyonho; Zhang, Xianghua; Zhao, Hongyu, JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, v.24, no.4, pp.954 - 974, 2015-10 |
Gradient Outlier Removal for Gradient‐Domain Path Tracing Ha, Saerom; Oh, Sojin; Back, Jonghee; Yoon, Sung-Eui; Moon, Bochang, COMPUTER GRAPHICS FORUM, v.38, no.2, pp.245 - 253, 2019-05 |
Grouped variable screening for ultra-high dimensional data for linear model Qiu, Debin; Ahn, Jeongyoun, COMPUTATIONAL STATISTICS & DATA ANALYSIS, v.144, 2020-04 |
How Important is a Non-Default Factor for CDS Valuation? Guo, Biao; Han, Qian; Lee, Jaeram; Ryu, Doojin, JOURNAL OF FUTURES MARKETS, v.35, no.11, pp.1088 - 1101, 2015-11 |
Impact of traffic states on freeway crash involvement rates Yeo, Hwasoo; Jang, Kitae; Skabardonis, Alexander; Kang, Seungmo, ACCIDENT ANALYSIS AND PREVENTION, v.50, pp.713 - 723, 2013-01 |
Improving software reliability prediction through multi-criteria based dynamic model selection and combination Park, Jinhee; Baik, Jong-Moon, JOURNAL OF SYSTEMS AND SOFTWARE, v.101, pp.236 - 244, 2015-03 |
Kernel partial correlation: a novel approach to capturing conditional independence in graphical models for noisy data Oh, Jihwan; Zheng, Faye; Doerge, R. W.; Chun, Hyonho, JOURNAL OF APPLIED STATISTICS, v.45, no.14, pp.2677 - 2696, 2018 |
l1 Trend Filtering-Based Change Point Detection for Pumping Line Balance of Deposition Equipment Ahn, Jeongsun; Kim, Duyeon; Song, Mingi; Min, Jaehong; Hwang, Jimin; Kwon, Juhye; Kim, Hyun-Jung, IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, v.35, no.1, pp.137 - 145, 2022-02 |
Latent-Class Hough Forests for 6 DoF Object Pose Estimation Tejani, Alykhan; Kouskouridas, Rigas; Doumanoglou, Andreas; Tang, Danhang; Kim, Tae-Kyun, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.40, no.1, pp.119 - 132, 2018-01 |
Learning-Based Adaptive Imputation Method with kNN Algorithm for Missing Power Data Kim, Minkyung; Park, Sangdon; Lee, Joohyung; Joo, Yongjae; Choi, Jun Kyun, ENERGIES, v.10, no.10, 2017-10 |
Machine learning-assisted laser-induced breakdown spectroscopy for monitoring molten salt compositions of small modular reactor fuel under varying laser focus positions Lee, Yunu; Foster, Richard I.; Kim, Hyeongbin; Choi, Sungyeol, ANALYTICA CHIMICA ACTA, v.1241, 2023-02 |
Malaria predictions based on seasonal climate forecasts in South Africa: A time series distributed lag nonlinear model Kim, Yoonhee; Ratnam, J. V.; Doi, Takeshi; Morioka, Yushi; Behera, Swadhin; Tsuzuki, Ataru; Minakawa, Noboru; et al, SCIENTIFIC REPORTS, v.9, 2019-11 |
Mean squared error criterion for model-based design of experiments with subset selection Kim, Boeun; Ryu, Kyung Hwan; Heo, Seongmin, COMPUTERS & CHEMICAL ENGINEERING, v.159, 2022-03 |
Modified screening-based Kriging method with cross validation and application to engineering design Kang, Kyeonghwan; Qin, Caiyan; Lee, Bong Jae; Lee, Ikjin, APPLIED MATHEMATICAL MODELLING, v.70, pp.626 - 642, 2019-06 |
Non-parametric Bayesian covariate-dependent multivariate functional clustering: An application to time-series data for multiple air pollutants Yang, Daewon; Choi, Taeryon; Lavigne, Eric; Chung, Yeonseung, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, v.71, no.5, pp.1521 - 1542, 2022-11 |
Nonparametric estimation of a log-variance function in scale-space Park, Cheolwoo; Huh, Jib, JOURNAL OF STATISTICAL PLANNING AND INFERENCE, v.143, no.10, pp.1766 - 1780, 2013-10 |
Nonparametric estimation of single-index models in scale-space Huh, Jib; Dyal, Derek; Park, Cheolwoo, JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, v.91, no.12, pp.2414 - 2443, 2021-08 |
Novel informed deep learning-based prognostics framework for on-board health monitoring of lithium-ion batteries Kim, Sung Wook; Oh, Ki-Yong; Lee, Seungchul, APPLIED ENERGY, v.315, 2022-06 |
On the bias of the multiple-imputation variance estimator in survey sampling Kim, Jae Kwang; Brick, JM; Fuller, WA; Kalton, G, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, v.68, pp.509 - 521, 2006 |
On the value of outlier elimination on software effort estimation research Seo, Yeong-Seok; Bae, Doo-Hwan, EMPIRICAL SOFTWARE ENGINEERING, v.18, no.4, pp.659 - 698, 2013-08 |
Optimizing the Multistage University Admission Decision Process Kim, Dong Hyun; Kim, Namyong; Cho, Junoh; Shin, Hayong, INFORMS Journal On Applied Analytics (INTERFACES), v.49, no.6, pp.422 - 429, 2019-11 |
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