Chae Young Lim - researchr alias

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Viewing Publication 1 - 16 from 16

2022

Conditions on which cokriging does not do better than krigingChae Young Lim, Wei-Ying Wu. ma, 192:105084, 2022. [doi]

Regularized nonlinear regression for simultaneously selecting and estimating key model parameters: Application to head-neck position trackingKyubaek Yoon, Hojun You, Wei-Ying Wu, Chae Young Lim, Jongeun Choi, Connor Boss, Ahmed Ramadan, John M. Popovich Jr., Jacek Cholewicki, N. Peter Reeves, Clark J. Radcliffe. eaai, 113:104974, 2022. [doi]

2019

Bayesian model selection for generalized linear models using non-local priorsGuiling Shi, Chae Young Lim, Tapabrata Maiti. csda, 133:285-296, 2019. [doi]

Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion Using Bayesian CalibrationLiangLiang Zhang, Zhenxiang Jiang, Jongeun Choi, Chae Young Lim, Tapabrata Maiti, Seungik Baek. titb, 23(6):2537-2550, 2019. [doi]

2018

Bayesian time series regression with nonparametric modeling of autocorrelationTanujit Dey, Kun ho Kim, Chae Young Lim. cstat, 33(4):1715-1731, 2018. [doi]

A new approach to the space-time analysis of big data: application to subway traffic data in SeoulKwang-Yul Kim, Chae Young Lim, Eunice J. Kim. jbd, 5:5, 2018. [doi]

2016

Spatial regression and estimation of disease risks: A clustering-based approachWenning Feng, Chae Young Lim, Tapabrata Maiti, Zhen Zhang. sadm, 9(6):417-434, 2016. [doi]

2015

2013

A wearable healthcare system for cardiac signal monitoring using conductive textile electrodesChae Young Lim, Kuk Jin Jang, Hyun Woo Kim, Young-Hwan Kim. embc 2013: 7500-7503 [doi]

Tail estimation of the spectral density for a stationary Gaussian random fieldWei-Ying Wu, Chae Young Lim, Yimin Xiao. ma, 116:74-91, 2013. [doi]

2011

Conductivity imaging of canine body using 3T magnetic resonance electrical impedance tomography (MREIT) systemHyung Joong Kim, Young Tae Kim 0002, Woo Chul Jeong, Atul S. Minhas, Chae Young Lim, Hee Myung Park, Eung Je Woo. scira, 18(6):1505-1510, 2011. [doi]

Assessing Fingerprint Individuality Using EPIC: A Case Study in the Analysis of Spatially Dependent Marked ProcessesChae Young Lim, Sarat C. Dass. technometrics, 53(2):112-124, 2011. [doi]

2010

Statistical properties of differences between low and high resolution CMAQ runs with matched initial and boundary conditionsChae Young Lim, Michael Stein, Jason Ching, Ruen Tang. envsoft, 25(1):158-169, 2010. [doi]

2009

Local Whittle estimator for anisotropic random fieldsHongwen Guo, Chae Young Lim, Mark M. Meerschaert. ma, 100(5):993-1028, 2009. [doi]

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