#88. Inferring structure and parameters of stochastic reaction networks with logistic regression.

Choi, B., Kang, H. W., and Rempala, G.

2026 · PLOS ONE 

DOI: https://doi.org/10.1371/journal.pone.0341639

#87. Predictive Modeling of University Student Dropout by Timing: A Comparative Analysis of Early and Mid-Program Determinants

Kim, Nahyun, An, Sookyung, Yu, Seongyu, Lee, Dasom, Choi, B., and Kim, Yunji.

2026 · Journal of the Korean Data Analysis Society, 28(1), 1–15.

#86. Selection of the travel routes using Dynamic Time Warping and time-series clustering algorithms.

Woo, Seo-Yeon and Choi, B.

2026 · Journal of the Korean Data Analysis Society, 28(1), 1–17.

#85. Lung microbiome predictors of epigenetic aging and potential associations with smoking and electronic cigarette use Clinical Epigenetics

Choi, B., Kang, H. W., Weng, D. Y., Ying, K., McElroy, J. P., Kamel, S., Reisinger, S. A., Wewers, M. D., Shields, P. G., and Song, M. A.

2026 · revised

#84. Investigating meteorological and environmental effects on the transmission of COVID-19 in South Korea 

Jang, D., Lee, H., Kim, S., Choi, S., Choi, B.

2026 · PlOS ONE · Submitted

#83. Association between healthcare accessibility and excess mortality during the COVID-19 pandemic: A cluster-based approach in South Korea 

Jang, D., Choi, S. Choi. B., Kim, S. 

2026 · BMC Public Health · Submitted

#82. Modeling diarrheal disease transmission dynamics of children in rural Nicaragua: The role of Campylobacter and Salmonella contamination of household drinking water.

Mills, M., Choi, B., Garabed, R., Lee, S., Piperata, B.A., Lee, J. 

2026 · International Journal of Hygiene and Environmental Health · Submitted

#81. Spatiotemporal Nexus between Harmful Algal Blooms and Neurodegenerative Disease in South Korea 

Kim, S., Kim, M. J., Kang, D., Choi, B., Lee, S. 

2026 · Harmful Algae · Submitted

#80. A history-dependent approach for accurate initial condition estimation in epidemic models

Lim, D., Ko, K.T., Hong, H., Lee, H., Choi, B., Chang, W., Choi, S., and Kim, J.

2025 · PLoS Computational Biology, 21(9): e1013438· Submitted

#79. Inferring contact network characteristics from epidemic data via compact mean-field models

Guzman, A., Malizia, F., Park, G. H., Choi, B., Cole, D., Kiss, I. Z. 

2025 · Journal of Complex Networks · Vol. 13(4)

DOI: https://doi.org/10.1093/comnet/cnaf018

#78. Development and Application of a Flood Vulnerability Index Using Canonical Correlation Analysis

Park, Y., An, S., and Choi, B. 

2025 · Journal of the Korean Data Analysis Society · Vol. 27(1):pp. 13-29

DOI: https //doi.org/10.37727/jkdas.2025.27.1.13

#77. Beyond the Michaelis–Menten: Bayesian Inference for Enzyme Kinetic Analysis. In: Vanhaelen Q. (eds) Computational Methods for Estimating the Kinetic Parameters of Biological Systems Books!

Hong, H., Choi, B., Kim, J.

Methods in Molecular Biology · Vol. 2385

DOI: https://link.springer.com/protocol/10.1007/978-1-0716-1767-0_3

#76. Overcoming Bias in Estimating Epidemiological Parameters: A Bayesian Approach with Realistic History-Dependent Disease Spread Dynamics

Hong, H., Eom, E., Lee, H., Choi, S., Choi, B., and Kim, J. 

2024 · Nature Communications · Vol. 15(1), 8734

DOI: https://doi.org/10.1038/s41467-024-53095-7

#75. Longitudinal Analysis of Urban Stormwater Microbiome and Resistome from Watersheds with and without Green Infrastructure using Long-Read Sequencing

Mills, M., Davis, A., Lancaster, E., Choi. B., Martin, J., Winston, R., Lee, J. 

2024 · Water Research · Vol. 259, 121873

DOI: https://doi.org/10.1016/j.watres.2024.121873

#74. Dynamic SARS-CoV-2 surveillance model combining seroprevalence and wastewater concentrations for post- vaccine disease burden estimates

Holm, R. H., Rempala, G. A., Choi, B., Brick, J. M., Amraotkar, A. R., Keith, R. J., Rouchka, E. C., Chariker, J. H., Palmer, K. E., Smith, T., Bhatnagar, A. 

2024 · Communications Medicine · Vol. 70

DOI: https://doi.org/10.1038/s43856-024-00494-y

#73. SARS-CoV-2 wastewater concentration and linked longitudinal seroprevalence: a spatial analysis of strain mutation, post-COVID-19 vaccination effect, and hospitalization burden forecasting

Holm, R. H., Rempala, G. A., Choi, B., Brick, J. M., Amraotkar, A. R., Keith, R. J., Rouchka, E. C., Chariker, J. H., Palmer, K. E., Smith, T., Bhatnagar, A.

2023 · Nature Communications · Submitted

DOI: https://doi.org/10.1101/2023.01.06.23284260

#72. Inferring delays in partially observed gene regulation processes

Hong, H., Cortez, M. J., Cheng Y. Y., Kim, H. J., Choi, B., Kim, J., and Josic, K.

2023 · Bioinformatics · Revised

DOI: https://doi.org/10.1093/bioinformatics/btad670

#71. Household environment and animal fecal contamination are critical modifiers of the gut microbiome and resistome in young children from rural Nicaragua

Mills, M., Lee, S., Piperata, B.A., Garabed, R., Choi. B., Lee, J.

2023 · Microbiome · Accepted

DOI: https://doi.org/10.1186/s40168-023-01636-5

#70. Relationship Between Freshwater Harmful Algal Blooms and Neurodegenerative Disease Incidence Rates in South Korea

Lee, S., Choi, B., Kim S. J., Kim, J., Kang, D., and Lee, J.

2022 · Environmental Health

DOI: https://doi.org/10.1186/s12940-022-00935-y

#69. Combining Correlated P-values from Primary Data Analyses

Choi, J. W., Nandram, B., and Choi, B.

2022 · International Journal of Statistics and Probability · Vol. 11(No. 6)

DOI: https://doi.org/10.5539/ijsp.v11n6p12

#68. Quantifying the relationship between sub-population wastewater samples and community-wide SARS-CoV-2 seroprevalence

Smith, T., Holm, RH, Keith, RJ., Amraotkar, AR., Alvarado, CR., Banecki, K., Choi, B., Santistebar, IC., Bushau-Sprinkle, AM., Kitterman, KT., Palmer, KE., Brick, JM., Rempala, GA., Bhatnagar, A.

2022 · Science of the Total Environment

DOI: https://doi.org/10.1016/j.scitotenv.2022.158567

#67. Increasing viral transmission reduces progression rates to severe COVID-19 during endemic transition

Hong, H., Noh J. Y., Lee H., Choi, S., Choi, B., Kim, J. K., and Shin, E. C.

2022 · Immune Network · Vol. 22(3)

DOI: https://doi.org/10.1101/2022.02.09.22270633

#66. Classification algorithm application method for unbalanced time series data: Focusing on the corporate default model

Cho, Y., Cho, D., and Cho. B.

2022 · Journal of the Korean Data Analysis Society · Vol. 24(2):pp. 639-651

DOI: https://doi.org/10.37727/jkdas.2022.24.2.639

#65. An interaction Neyman-Scott point process model for Coronavirus disease-19

Park, J., Chang, J. and Choi, B.

2022 · Spatial Statistics · Vol. 47:pp. 1-20

DOI: https://doi.org/10.1016/j.spasta.2021.100561

#64. Hierarchical Bayesian models for inference in biochemical reactions with delays

Cortez, M. J., Hong, H., Choi, B., Kim, J., and Josic, K.

2022 · Bioinformatics · Vol. 38(1):pp. 187-195

DOI : https://doi.org/10.1093/bioinformatics/btab618

#63. Construction of stochastic epidemic model using Sellke construction and dynamical survival system

Eom, E., Park, G., and Choi, B.

2021 · Journal of the Korean Data Analysis Society · Vol. 23(2):pp. 563-575

DOI : http://doi.org/10.37727/jkdas.2021.23.2.563

#62. Bayesian inference of distributed time delay in transcriptional and translational regulation

Choi, B., Cheng, Y., Cinar S., Ott, W., Bennett, M. R., Josic, K., and Kim, J.

2020 · Bioinformatics · Vol. 36(2):pp. 586-593

DOI : https://doi.org/10.1093/bioinformatics/btz574

#61. Survival dynamical systems for the population-level analysis of epidemics

KhudaBukhsh, W. R., Choi, B., Kenah, E., and Rempala, G. A.

2020 · Journal of the Royal Society Interface · Vol. 10(1):pp. 1-18

DOI : https://doi.org/10.48550/arXiv.1901.00405

#60. Harmful algal blooms and Liver Diseases: Focusing on the Areas near the four Major Rivers in South Korea

Lee, S., Kim, J., Choi, B., Kim, G., and Lee, J.

2019 · Journal of Environmental Science and Health Part - C · Vol. 8(1):pp. 1-12

DOI : https://doi.org/10.1080/10590501.2019.1674600

#59. Modeling outbreak data: Analysis of a 2012 Ebola virus disease epidemic in DRC

Choi, B., Busch, S., Dai, Y., Lumpkin, r., Saucedo, O., KhudaBukhsh, W. R., Tien, J., Yotebieng, M., Kenah, E., Rempala, G. A.

2019 · Biomath · Vol. 8(1):pp. 1-12

DOI : https://doi.org/10.11145/j.biomath.2019.10.037

#58. Multivariate skew normal copula for asymmetric dependence: estimation and application

Wei, Z., Kim, S., Choi, B., and Kim, D.

2019 · International Journal of Information Technology & decision Making · Vol. 18(1):pp. 365-487

DOI : https://doi.org/10.1142/S021962201750047X

#57. 우리나라 공공데이터의 소재정보

김기환, 이창호, 최보승

2019 · 한국데이터정보과학회 · Vol. 30(5):pp. 1051-1062

DOI : http://doi.org/10.7465/jkdi.2019.30.5.1051

#56. Modeling household transmission dynamics: Application to diarrheal disease in Sub-Saharan Africa

Choi, B., Woroszy, C., Profitos, J. H., Lee, J. Carabed, R., and Rempala, G. A.

2018 · Plos One · 13(11):e0206418

DOI : https://doi.org/10.1371/journal.pone.0206418

#55. Stochastic epidemic model estimation using Monte Carlo expectation maximization algorithm

Choi, B. and Yoon, Y. H.

2018 · Journal of the Korean Data & Information Science Society · Vol. 29(1):pp. 97-109

DOI : http://doi.org/10.7465/jkdi.2018.29.1.97

#54. Beyond Michaelis-Menten: accurate and efficient estimation of enzyme kinetic parameters

Choi, B. , Rempala, G. A., and Kim, J. K.

2017 · Scientific Reports, 7, 17018.

DOI : https://doi.org/10.1038/s41598-017-17072-z

#53. A Research of support ratio comparison between Ballot Method: Based on 18th presidential election result in South Korea

Kim, K. H., Kim, K. J., Ra, D. H., and Choi, B.

2017 · Journal of the Korean Data & Information Science Society · Vol. 19(No. 6):pp. 2969-2980

DOI : http://doi.org/10.37727/jkdas.2017.19.6.2969

#52. A study of epidemic model using SEIR model

Do, M., Kim, J., and Choi, B.

2017 · Journal of the Korean Data & Information Science Society · Vol. 28(No. 2):pp. 1-11

DOI : https://doi.org/10.7465/jkdi.2017.28.2.297

#51. An estimation method of probability of infection using Reed – Frost model

Eom, E., Hwang, J. and Choi, B.

2017 · Journal of the Korean Data & Information Science Society · Vol. 28(No. 1):pp. 57-66

DOI : https://doi.org/10.7465/jkdi.2017.28.1.57

#50. Prediction of exit polls for the presidential election in 2007 and 2013 by using nonresponse models

Choi, B. and Kim, S.

2017 · Journal of the Korean Data Analysis Society · Vol. 19(No. 1 (B)):pp. 1-9

DOI : http://doi.org/10.37727/jkdas.2017.19.1.1

#49. A model construction for probability of human-caused wildfire using geographical information

Kim, K. W., Kim, J. H., and Choi, B.

2016 · Journal of the Korean Data Analysis Society · Vol. 18(No. 6 (B)):pp. 2987-2999

#48. An estimation method for nonresponse model using Monte-Carlo Expectation-Maximization algorithm

Choi, B., You, H. S., and, Yoon, Y. H.

2016 · Journal of the Korean Data & Information Science Society · Vol. 27(No. 3):pp. 587-598

DOI : http://doi.org/10.7465/jkdi.2016.27.3.587

#47. A Construction of Susceptible–Infected–Removed Model using Korean MERS Pandemic Data

Lim, Y., Do, M. J., and, Choi, B.

2016 · Journal of the Korean Data Analysis Society · Vol. 18(No. 1 (B)):pp. 105-115

#46. Estimating epidemic parameters: Application to H1N1 pandemic data

Schwartz, E. J., Choi, B., and Rempala, G. A.

2015 · Mathematical Biosciences · Vol. 270:pp. 198-203

DOI : https://doi.org/10.1016/j.mbs.2015.03.007

#45. An analysis of competition relationship for the smartphone markets using Lotka-Volterra model

Yoon, Y. H., Kang, B., and Choi, B.

2015 · Journal of the Korean Data Analysis Society · Vol. 17(No. 6 (B)):pp. 2955-2967

#44. A research for forecasting of rate of university quota according to the reducing of young generation

Kim, K. H., Lee, C. H., and Choi, B.

2015 · Journal of the Korean Data & Information Science Society · Vol. 26(No. 6):pp. 1175-1188

DOI : https://doi.org/10.7465/jkdi.2015.26.6.1175

#43. A Study of Methods of Error Detection in Survey Data

Shin, K. and Choi, B.

2015 · Journal of the Korean Data Analysis Society · Vol. 17(No. 3 (B)):pp. 1297-1308

#42. An Estimation Method for Stochastic Epidemic Model

Seo, M. and Choi, B.

2015 · Journal of the Korean Data Analysis Society · Vol. 17(No. 3 (B)):pp. 1247-1259

DOI : https://doi.org/10.7465/jkdi.2015.26.4.813

#41. An estimation method for stochastic reaction model

Choi, B.

2015 · Journal of the Korean Data & Information Science Society · Vol. 26(No. 4):pp. 813-826

DOI : https://doi.org/10.7465/jkdi.2015.26.4.813

#40. Development of epidemic model using the stochastic method

Ryu, S. and Choi, B.

2015 · Journal of the Korean Data & Information Science Society · Vol. 26(No. 2):pp. 301-312

DOI : https://doi.org/10.7465/jkdi.2015.26.2.301

#39. Analysis of Missing Data Using an Empirical Bayesian Method

Yoon, Y. H. and Choi, B.

2014 · The Korean Journal of Applied Statistics · Vol. 27(No. 6):pp 1010-1016

DOI : https://doi.org/10.5351/KJAS.2014.27.6.1003

#38. A comparison study for accuracy of exit poll based on nonresponse model

Kwak, J. and Choi, B.

2014 · Journal of the Korean Data & Information Science Society · Vol. 25(No. 1):pp. 53-64

DOI : http://doi.org/10.7465/jkdi.2014.25.1.53

#37. Predicting germination probability of radish (Raphanus sativus L.), Chinese cabbage (Brassica rapa ssp. pekinensis), and cabbage (B. oleracea var. capitata L.) seeds via amino acid leakage parameters

2013 · Horticulture, Environment, and Biotechnology · Vol. 54(No. 5):pp. 388-398

#36. Dynamic Bayesian analysis for irregularly and incompletely observed contingency tables

Park, Y. S., Kim, K. W., and Choi, B.

2013 · Journal of the Korean Statistical Society · Vol. 42:pp. 277-289

DOI : https://doi.org/10.1016/j.jkss.2012.08.008

#35. 지리정보를 이용한 소상공인 매출액 예측모형 구축 연구

엄익현, 신경진, 최보승

2013 · Journal of the Korean Data Analysis Society · Vol. 15(No. 6 (B)):pp. 3003-3015

#34. 생명표 활용에 대한 고찰 및 분석 방법 소개

신경진, 최보승

2013 · Journal of the Korean Data & Information Science Society · Vol. 24(No. 6):pp. 1159-1175

DOI : http://doi.org/10.7465/jkdi.2013.24.6.1159

#33. 시계열 범주형 자료를 위한 동적 베이지안 모형 비교

최보승

2012 · Journal of the Korean Data Analysis Society · Vol. 14(No. 6 (B)):pp. 2975-2988

#31. 무응답 자료에 대한 EM 알고리즘을 이용한 모형 선택 방법

최보승, 김경무

2012 · Journal of the Korean Data Analysis Society · Vol. 14(No. 2 (B)):pp 767-779

#30. 무응답을 가지고 있는 범주형 자료에 대한 모형 선택 방법

윤용화, 최보승

2012 · 한국데이터정보과학회지 · Vol. 23(No. 4):pp. 627-641

DOI : https://doi.org/10.7465/jkdi.2012.23.4.627

#29. Inference for Discretely Observed Stochastic Kinetics Networks with Applications to Epidemic Modeling

Choi, B. and Rempala, G

2012 · Biostatistics · Vol. 13(No. 1):pp. 153-165

DOI : https://doi.org/10.1093/biostatistics/kxr019

#28. Multi-Level Composite Estimators and the Three-Way Balanced Multi-Level Rotation Designs

Kim, K. W., Choi, B., and Park, Y. S.

2011 · Journal of the Korean Statistical Society · Vol. 40:pp. 99-208

DOI : https://doi.org/10.1016/j.jkss.2010.08.001

#27. A Study for Forecasting Methods of ARMA-GARCH Model Using MCMC Approach

Chae, W. Y., Kim, K. W., Choi, B., and Y. S. Park.

2011 · The Korean Journal of Applied Statistics · Vol. 24(No. 2):pp. 293-305

DOI : https://doi.org/10.5351/KJAS.2011.24.2.293

#26. A Study on the Judgement Rating for Level of Need for Long-term Care Insurance Using a Decision Tree

Han, S. T., Kang, H., Choi, B., and Lee, Seong Keon

2011 · Communications of the Korean Statistical Society · Vol. 18(No. 1):pp. 137-146

DOI : https://doi.org/10.5351/CKSS.2011.18.1.137

#25. A Study for the Development of a Bid Price Rate Prediction Model

Choi, B., Kang, H., and Han, S. T.

2011 · Communications of the Korean Statistical Society · Vol. 18(No. 1):pp. 23-34

DOI : https://doi.org/10.5351/CKSS.2011.18.1.023

#24. City Gas Demanding Forecasting using Seasonal Adjustment Method

Choi, B., Kang, H., and Han, S. T.

2010 · Journal of the Korean Data Analysis Society · Vol. 12(No. 6 (B)):pp. 3247-3258

DOI : https://doi.org/10.5351/KJAS.2009.22.5.1019

#23. Bayesian analysis for Incomplete Multi-way Contingency Tables with Nonignorable Nonresponse

Park, Y. S. and Choi, B.

2010 · Journal of Applied Statistics · Vol. 37(No. 9):pp 1439-1453

DOI : https://doi.org/10.1080/02664760903046078

#22. Bayesian Methods for Incomplete Two-way Contingency Table with Application to the Ohio (Buckeye State) Polls

Choi, B., Choi, J. W., and Park, Y. S

2009 · Survey Methodology · Vol 35(No. 1):pp.37-5

#21. 부동산 경매지수의 개발

최보승, 강현철, 최호식, 한상태

2009 · Journal of the Korean Data Analysis Society · Vol. 11(No. 6 (B)):pp. 3115-3125

#20. 교통 통계 정보를 이용한 속도 패턴 예측에 관한 연구

최보승, 강현철, 이성건, 한상태

2009 · 응용통계연구 · 제 22권(6호):pp. 1177-1190

DOI : https://doi.org/10.5351/KJAS.2009.22.6.1177

#19. 도시가스 수요량 예측을 위한 시계열 모형 개발

최보승, 강현철, 이경윤, 한상태

2009 · 응용통계연구 · 제 22권(제 5호):pp 1019-1032

DOI : https://doi.org/10.5351/KJAS.2009.22.5.1019

#18. 중소기업을 위한 효율적인 부도예측모형 구축을 위한 연구

박유성, 이상윤, 최보승

2009 · Journal of the Korean Data Analysis Society · Vol. 11(No. 3 (B)):pp. 1363-1375

#17. 우리나라 인구구조 변화에 대한 마이크로시뮬레이션 적용에 관한 연구

박유성, 김효성, 최보승, 김기환

2009 · Journal of the Korean Data Analysis Society · Vol. 11(No. 2 (B)):pp. 881-893

#16. 스펙트럼 분석을 이용한 시계열 자료의 패턴 분류

전새봄, 최보승, 김성용

2009 · Journal of the Korean Data Analysis Society · Vol. 11(No. 1 (B)):pp. 349-359

#15. Beers와 Greville 보정방법에 의한 사망확률 보정방법 비교 연구

박유성, 박성근, 최보승, 김기환

2009 · Journal of the Korean Data Analysis Society · Vol. 11(No 11):pp. 881-893

#14. Bias Corrected Maximum Likelihood Estimator under the Generalized Linear Model for a Binary Variable

Park, M. and Choi, B

2008 · Communications in Statistics - Simulation and Computation · Vol. 37(Issue 8):pp 1507-1514

DOI : https://doi.org/10.1080/03610910802063772

#13. 국소적 강력 단위근 검정

최보승, 우진욱, 박유성

2008 · 한국통계학회논문집 · 제 15권(제 4호):pp 531-542

DOI : https://doi.org/10.5351/CKSS.2008.15.4.531

#12. 계절조정 방법을 이용한 지적측량 업무량 예측

송명숙, 최보승, 김성용, Raul Moretti

2008 · Journal of the Korean Data Analysis Society · Vol. 10(No. 3 (B)):pp 1579-1589

#11. 무시할 수 없는 무응답이 발생하는 교체 표본 조사에서의 교체 그룹 편향 추정

최보승, 김대영, 김기환, 박유성

2008 · 응용통계연구 · 제 21권(제 3호):pp 361-375

DOI : https://doi.org/10.5351/KJAS.2008.21.3.361

#10. 연결분석의 응용에 관한 연구

강현철, 한상태, 최보승, 백종환

2008 · Journal of the Korean Data Analysis Society · Vol. 10(No. 3 (B)):pp 1541-1548

#9. 제한된 반응변수의 모형화에 관한 연구

한상태, 강현철, 최보승, 송한섭

2008 · Journal of the Korean Data Analysis Society · Vol. 10(No. 3 (B)):pp 1561-1567

#8. 국가통계학 교과과정의 개발

최종후, 김기환, 최보승, 진서훈

2008 · Journal of the Korean Data Analysis Society · Vol. 10(No. 2 (B)):pp 743-756

#7. 부도업체 수 예측을 위한 모형 개발 연구

최보승, 손정철, 정재엽, 김기환

2008 · Journal of the Korean Data Analysis Society · Vol. 10(No. 1 (B)):pp 283-294

#6. Analysis of Repeated Measurements on Iowa Gambling Task Study

Lu, X., Lee, D. H., Choi, B., Park, M. S., and An, H

2007 · Journal of the Korean Data Analysis Society · Vol. 9(No. 6):pp. 2623-2629

#5. 기대효용최대화를 통한 한국형 기업 신용평가 모형

박유성, 송지현, 최보승

2007 · 응용통계연구 · 제 20권(제 3호):pp 573-584

DOI : https://doi.org/10.5351/KJAS.2007.20.3.573

#4. 무시할 수 없는 무응답을 갖는 예비조사자료를 이용한 선거예측

최보승, 박유성, 이동희

2007 · Journal of the Korean Data Analysis Society · Vol. 9(No. 5):pp. 2321-2333

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