Bayesian propensity score analysis for clustered observational data von Zhou, Qi, McNeal, Catherine, Copeland, Laurel A., Zachariah, Justin P., Song, Joon Jin

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Incorporation of Parameter Uncertainty into Spatial Interpolation Using Bayesian Trans-Gaussian Kriging von Song, Joon Jin, Kwon, Soohyun, Lee, GyuWon

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A novel wavelet-based thresholding method for the pre-processing of mass spectrometry data that accounts for heterogeneous noise von Kwon, Deukwoo, Vannucci, Marina, Song, Joon Jin, Jeong, Jaesik, Pfeiffer, Ruth M.

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Polarimetric Retrieval of Raindrop Size Distribution: Double‐Moment Normalization Approach and Machine Learning Techniques von Shin, Kyuhee, Kim, Kwonil, Song, Joon Jin, Lee, GyuWon

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A Bayesian Hierarchical Spatial Model to Correct for Misreporting in Count Data: Application to State-Level COVID-19 Data in the United States von Chen, Jinjie, Song, Joon Jin, Stamey, James D

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Interpolation of Temperature in a Mountainous Region Using Heterogeneous Observation Networks von Ryu, Soorok, Song, Joon Jin, Lee, GyuWon

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Classification of Precipitation Types Based on Machine Learning Using Dual-Polarization Radar Measurements and Thermodynamic Fields von Shin, Kyuhee, Kim, Kwonil, Song, Joon Jin, Lee, GyuWon

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Quantitative Precipitation Estimates Using Machine Learning Approaches with Operational Dual-Polarization Radar Data von Shin, Kyuhee, Song, Joon Jin, Bang, Wonbae, Lee, GyuWon

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Spatial Interpolation of Gauge Measured Rainfall Using Compressed Sensing von Ryu, Soorok, Song, Joon Jin, Kim, Yongku, Jung, Sung-Hwa, Do, Younghae, Lee, GyuWon

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Estimation of Precipitation Area Using S-Band Dual-Polarization Radar Measurements von Song, Joon Jin, Innerst, Melissa, Shin, Kyuhee, Ye, Bo-Young, Kim, Minho, Yeom, Daejin, Lee, GyuWon

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A Parametric Approach to Unmixing Remote Sensing Crop Growth Signatures von Lewis-Beck, Colin, Zhu, Zhengyuan, Mondal, Anirban, Song, Joon Jin, Hobbs, Jonathan, Hornbuckle, Brian, Patton, Jason

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Bayesian sensitivity analysis to unmeasured confounding for misclassified data von Zhou, Qi, Chin, Yoo-Mi, Stamey, James D., Song, Joon Jin

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Estimation and Prediction of Record Values Using Pivotal Quantities and Copulas von Lee, Jeongwook, Song, Joon Jin, Kim, Yongku, Seo, Jung In

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Analysis of zero-inflated clustered count data: A marginalized model approach von Lee, Keunbaik, Joo, Yongsung, Song, Joon Jin, Harper, Dee Wood

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Assessing the Detection Capacity of Microarrays as Bio/Nanosensing Platforms von Kim, Jin-Woo, Deaton, Russell, Song, Joon Jin, Lee, Ju Seok

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Temporal trends in lipid screening and therapy among youth from 2002 to 2012 von Zachariah, Justin P., MD, MPH, McNeal, Catherine J., MD, PhD, Copeland, Laurel A., PhD, Fang-Hollingsworth, Ying, MPH, Stock, Eileen M., PhD, Sun, FangFang, MS, Song, Joon Jin, PhD, Gregory, Sean T., MBA, MS, PhD, Tom, Jeffrey O., MD, MS, Wright, Eric A., PharmD, VanWormer, Jeffrey J., PhD, Cassidy-Bushrow, Andrea E., PhD, MPH

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Exercise-induced changes in stress hormones and cell adhesion molecules in obese men von Park, Jinkyung, Willoughby, Darryn S, Song, Joon Jin, Leutholtz, Brian C, Koh, Yunsuk

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Bayesian spatial quantile regression for areal count data, with application on substitute care placements in Texas von King, Clay, Song, Joon Jin

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Spatial dependency and contextual effects on Academic Achievement von Ki, Matlock, Joon, Jin Song, Christian, Z. Goering

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DETERMINING OPTIMAL TROPONIN I THRESHOLDS TO DIAGNOSE ACUTE MYOCARDIAL INFARCTION von Michel, Jeffrey B., Song, Joon Jin

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