E. Lim and P. W. Glynn. 2022. Simulation-based Prediction. Operations Research. Published online in Articles in Advance. https://doi.org/10.1287/opre.2021.2229
E. Lim. 2021c. Simulation-based Optimization for Convex Functions over Discrete Sets. International Journal of Statistics and Probability. 10(5): 31-37.
E. Lim. 2021b. Estimation of Unknown Parameters Using Partially Observed Data. Journal of Modelling in Management. 16 (2): 651–667.
E. Lim. 2021a. Consistency of Penalized Convex Regression. International Journal of Statistics and Probability. 10 (1): 69-78.
E. Lim and K. Kim. 2020. Estimating Smooth and Convex Functions. International Journal of Statistics and Probability. 9 (5): 40-48.
E. Lim. 2020. The Limiting Behavior of Isotonic and Convex Regression Estimators When The Model Is Misspecified. Electronic Journal of Statistics. 14 (1): 2053-2097. https://doi.org/10.1214/20-EJS1714
E. Lim, J. Choi, and Y. Kim. 2018. A Theoretically Sound Approach to Sizing Analog Circuits. Journal of Semiconductor Technology and Science. 18 (2): 200-210.
E. Lim. and F. Tavarez. 2017. Nonparametic Tests for Convexity/Monotonicity/Positivity of Multivariate Functions with Noisy Observations. International Journal of Statistics and Probability. 6 (5): 18-28.
E. Lim and F. Gonzalez. 2017. Estimation of Multivariate Smooth Functions via Convex Programs. International Journal of Statistics and Probability. 6 (3):1-8.
E. Lim and M. Attallah. 2016. Estimation of Smooth Functions via Convex Programs. International Journal of Statistics and Probability. 5 (4): 150-155.
Y. Luo and E. Lim. 2016. On Consistency of Least Absolute Deviations Estimators of Convex Functions. International Journal of Statistics and Probability. 5 (2):1-18.
E. Lim. 2014. On Convergence Rate of Convex Regression in Multiple Dimensions. INFORMS Journal on Computing. 26 616-628.
Y. Luo and E. Lim. 2013. Simulation-based Optimization over Discrete Sets with Noisy Constraints. IIE Transactions. 45 699-715.
E. Lim. 2012. Stochastic Approximation over Multi-dimensional Discrete Sets with Applications to Inventory Systems and Admission Control of Queueing Netwotks. ACM Transactions on Modeling and Computer Simulation. 22 19:1-19:23.
E. Lim and P. W. Glynn. 2012. Consistency of Multi-dmentional Convex Regression. Operations Research. 60 196-208.
E. Lim. 2011. On the Convergence Rate for Stochastic Approximation in the Nonsmoothing Setting. Mathematics of Operations Research. 36 527-537.