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    #74. Beyond Michaelis-Menten: accurate and efficient estimation of enzyme kinetic parameters
    Choi, B., Rempala, G. A., Kim, J. K.
    Scientific Reports · Vol. 7(17018)
    #73. Beyond the Michaelis–Menten: Bayesian Inference for Enzyme Kinetic Analysis. In: Vanhaelen Q. (eds) Computational Methods for Estimating the Kinetic Parameters of Biological Systems
    Hong, H., Choi, B., Kim, J.
    Methods in Molecular Biology · Vol. 2385
    #72. 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.
    Environmental Health
    #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
    #70. Inferring delays in partially observed gene regulatory networks
    Hong, H., Cortez, M. J., Cheng Y. Y., Kim, H. J., Choi, B., Kim, J., and Josic, K.
    2023 · Bioinformatics · Revised
    #69. 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
    #68. 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
    #67. 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
    #66. 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)
    #65. 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
    #64. 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)
    #63. 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
    #62. 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
    #61. 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
    #60. 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
    #59. 우리나라 공공데이터의 소재정보
    김기환, 이창호, 최보승
    2019 · 한국데이터정보과학회 · Vol. 30(5):pp. 1051-1062
    #58. 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
    #57. 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
    #56. 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
    #55. 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
    #54. 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
    #53. 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
    #52. 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
    #51. 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
    #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
    #49. 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
    #48. 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
    #47. 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
    #46. 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
    #45. 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
    #44. 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
    #43. 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
    #42. 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
    #41. 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
    #40. 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
    #39. 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
    #38. 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
    #37. 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
    #36. 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
    #35. 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
    #34. 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
    #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
    #32. 무응답을 가지고 있는 범주형 자료에 대한 모형 선택 방법
    윤용화, 최보승
    2012 · 한국데이터정보과학회지 · Vol. 23(No. 4):pp. 627-641
    #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. 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
    #29. 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
    #28. 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
    #27. 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
    #26. Multi-Level Composite Estimators in 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
    #25. 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
    #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
    #23. 교통 통계 정보를 이용한 속도 패턴 예측에 관한 연구
    최보승, 강현철, 이성건, 한상태
    2009 · 응용통계연구 · 제 22권(6호):pp. 1177-1190
    #22. 부동산 경매지수의 개발
    최보승, 강현철, 한상태
    2009 · Journal of the Korean Data Analysis Society · Vol. 11(No. 6 (B)):pp. 3115-3125
    #21. 도시가스 수요량 예측을 위한 시계열 모형 개발
    최보승, 강현철, 이경윤, 한상태
    2009 · 응용통계연구 · 제 22권(제 5호):pp 1019-1032
    #20. 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
    #19. 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
    #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. 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.37-51
    #16. 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
    #15. 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
    #14. 국소적 강력 단위근 검정
    최보승, 우진욱, 박유성
    2008 · 한국통계학회논문집 · 제 15권(제 4호):pp 531-542
    #13. 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
    #12. 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
    #11. 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
    #10. 계절조정 방법을 이용한 지적측량 업무량 예측
    송명숙, 최보승, 김성용, 라울 모레티
    2008 · Journal of the Korean Data Analysis Society · Vol. 10(No. 3 (B)):pp 1579-1589
    #9. 연결분석의 응용에 관한 연구
    강현철, 한상태, 최보승, 백종환
    2008 · Journal of the Korean Data Analysis Society · Vol. 10(No. 3 (B)):pp 1541-1548
    #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. 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
    #6. 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
    #5. 무응답 대체 방법을 이용한 은행고객 세분화 기법 연구
    최보승
    2007 · Journal of the Korean Data Analysis Society · Vol. 9(No. 4):pp 1849-1860
    #4. 금융거래정보를 이용한 소득추정모형 개발
    한상태, 최보승
    2007 · Journal of the Korean Data Analysis Society · Vol. 9(No. 4):pp 1821-1831
    #3. 기대효용최대화를 통한 한국형 기업 신용평가 모형
    박유성, 송지현, 최보승
    2007 · 응용통계연구 · 제 20권(제 3호):pp 573-584
    #2. 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
    #1. 자료의 패턴인식에 관한 연구와 이상자료분리 시스템의 개발
    최보승, 박유성
    1998 · 한국분류학회지 · 제 2권(제 1호):PP. 21-32
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