Research output per year
Research output per year
Personal profile
In Korean
김병원 교수(자연과학대학 통계학과)
Education
o (2008) B.A., Korea University, Korea
o (2011) M.A., Korea University, Korea
o (2018) Ph.D., University of Pittsburgh, United States
o (2011) M.A., Korea University, Korea
o (2018) Ph.D., University of Pittsburgh, United States
Professional Experience
o (2021~Present) Assistant Professor, Kyungpook National University, Daegu, Korea
o (2020~2021) Postdoctoral Researcher, Seoul National University, Seoul, Korea
o (2018~2019) Postdoctoral Researcher, University of Pittsburgh, Pittsburgh, United States
o (2020~2021) Postdoctoral Researcher, Seoul National University, Seoul, Korea
o (2018~2019) Postdoctoral Researcher, University of Pittsburgh, Pittsburgh, United States
Research Interests
Non-Euclidean Data Analysis
Directional Data Analysis
Compositional Data Analysis
Statistical Methods for Microbiome Data
Multivariate Data Analysis
Directional Data Analysis
Compositional Data Analysis
Statistical Methods for Microbiome Data
Multivariate Data Analysis
Major Research Achievements
o (2019) Small-sphere distributions for directional data with application to medical imaging
o (2020) Kurtosis test of modality for rotationally symmetric distributions on hyperspheres
o (2021) Estimation of the case fatality rate based on stratification for the COVID-19 outbreak
o (2022) On bayesian thresholding and truncation methods
o (2022) Outcome of Patients With Elevated Prostate-Specific Antigen and Lower Urinary Tract Symptoms Receiving Holmium Laser Enucleation of the Prostate
o (2023) Comparisons of parametric and non-parametric methods for analyzing RT-PCR experiment data
o (2020) Kurtosis test of modality for rotationally symmetric distributions on hyperspheres
o (2021) Estimation of the case fatality rate based on stratification for the COVID-19 outbreak
o (2022) On bayesian thresholding and truncation methods
o (2022) Outcome of Patients With Elevated Prostate-Specific Antigen and Lower Urinary Tract Symptoms Receiving Holmium Laser Enucleation of the Prostate
o (2023) Comparisons of parametric and non-parametric methods for analyzing RT-PCR experiment data
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Detection of Bacterial Leaf Spot Disease in Sesame (Sesamum indicum L.) Using a U-Net Autoencoder
Lee, M., Lee, J., Ghimire, A., Bae, Y., Kang, T. A., Yoon, Y., Lee, I. J., Park, C. W., Kim, B. & Kim, Y., Jul 2025, In: Remote Sensing. 17, 13, 2230.Research output: Contribution to journal › Article › peer-review
Open Access -
Zero inflated high dimensional compositional data with DeepInsight
Lee, J. & Kim, B., Apr 2025, In: PLoS ONE. 20, 4 April, e0320832.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Compositional data analysis by the square-root transformation: Application to NBA USG% data
Lee, J. & Kim, B., 2024, In: Communications for Statistical Applications and Methods. 31, 3, p. 349-363 15 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Comparisons of parametric and non-parametric methods for analyzing RT-PCR experiment data
Kim, B., Jung, S., Lim, J. & Jang, W., 15 Nov 2023, In: Chemometrics and Intelligent Laboratory Systems. 242, 104982.Research output: Contribution to journal › Article › peer-review
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Comments on “Online estimation of the case fatality rate using a run-off triangle data approach: An application to the Korean MERS outbreak in 2015” by Sungim Lee and Johan Lim published in Statistics in Medicine (vol. 38, 2644-2679, 2019)
Kim, B., Kim, S., Jung, S., Jang, W. & Lim, J., 30 Apr 2022, In: Statistics in Medicine. 41, 9, p. 1728-1732 5 p.Research output: Contribution to journal › Letter › peer-review