학력

• 중앙대학교 수학과 이학사 (2008)
• 이화여자대학교 통계학과 이학석사 (2013)
• 이화여자대학교 통계학과 이학박사 (2016)

경력

• Universidad de Zaragaza, Spain, Post doctoral researcher (2017-2020)

연구분야

• Stochastic process
• Multivariate distribution
• Reliability and Actuarial science

주요논문 및 저서

논문

• [21] Lee, H (2022). Mixture discrete reversed hazard rate and its main properties, Communications in Statistics-Theory and Methods, Online-published https://doi.org/10.1080/03610926.2022.2056747
• [20] Lee, H. and Cha J.H. (2021). A General multivariate new better than used (MNBU) distribution and its properties, Metrika, 84, 27-46.
• [19] Lee, H (2020). On a new stochastic model for cascading failures, Journal of Applied Probability, 57(4), 1150-1161
• [18] Badia, G., Berrade, M. D., Lee H. (2020). A study of cost effective maintenance policies: age replacement versus replacement after N minimal repairs, Reliability Engineering & System Safety, 201, 106949.
• [17] Lee, H. and Cha, J. H. (2020). A new general class of discrete bivariate distributions constructed by using the likelihood ratio order. Statistical Papers, 61(3), 923-944.
• [16] Lee, H. (2020). State-dependent age replacement policy for a system subject to cascading failures, Journal of Risk and Reliability, vol. 234(2) 
• [15] Badía, G. and Lee, H.(2020). On stochastic comparison and ageing properties of multivariate proportional hazard rate mixtures, Metrika, 83(3), 355-375.(Corresponding Author)
• [14] Lee, H. (2019). A general shock model for modelling coupled lives and its application to life insurance, Communications in Statistics-Theory and Methods, Online-published https://doi.org/10.1080/03610926.2019.1676449.
• [13] Lee, H. and Cha, J. H. (2019). On a multivariate IFR and positively dependent lifetime model induced by multiple shot-noise processes, Statistical Papers, Online-published https://doi.org/10.1007/s00362-019-01099-7.
• [12] Lee, H. and Cha, J. H. (2019). A bivariate optimal replacement policy for a system subject to a generalized failure and repair process, Applied Stochastic Models in Business and Industry, Vol. 35, pp. 637–650.
• [11] Badia, G., Berrade, M. D., Cha, J. H. and Lee, H. (2018) Optimal replacement policy under a general failure and repair model: minimal versus worse than old repair, Reliability Engineering & System Safety, Vol. 180, 362-372.
• [10]. Lee, H. and Cha, J. H. (2018). A dynamic bivariate common shock model with cumulative effect and its actuarial application, Scandinavian Actuarial Journal,Vol 2018Issue 10, 890-906.
• [9] Lee, H., Cha, J. H. and Pulcini G. (2017). Modeling discrete bivariate data with applications to failure and count data, Quality and Reliability Engineering International, Vol. 33, pp. 1455-1473.
• [8] Lee, H. and Cha, J. H. (2017). Reliability sampling plan for repairable items following general failure process and its statistical analysis, Statistics, Vol. 51, pp. 1159-1178.
• [7] Lee, H. and Cha, J. H. (2016). New stochastic models for preventive maintenance and maintenance optimization, European Journal of Operational Research, Vol. 255, pp. 80-90.
• [6] Lee, H. and Cha, J. H. (2016). New generalized burn-in procedure for items in stochastically evolving population, Applied Mathematical Modelling, Vol. 40, pp. 8338-8351.
• [5] Lee, H., Cha, J. H. and Finkelstein, M. (2016). On information-based warranty policy for repairable products from heterogeneous population, European Journal of Operational Research, Vol. 253, pp. 204-215.
• [4] Lee, H. and Cha, J. H. (2016). Point process approach to modeling and analysis of general cascading failure models, Journal of Applied Probability, Vol. 53, pp. 174-186.
• [3] Lee, H. and Cha, J. H. (2015). Construction of two new general classes of bivariate distributions based on stochastic orders, Journal of Multivariate Analysis, Vol. 142, pp. 75-85.
• [2] Lee, H. and Cha, J. H. (2015). On two general classes of discrete bivariate distributions, American Statistician, Vol. 69, pp. 221-230.
• [1] Lee, H. and Cha, J. H. (2014). On construction of general classes of bivariate distributions, Journal of Multivariate Analysis, Vol. 127, pp. 151-159.