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 Conve 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.