9 citations · 19 across the 5 of their papers we have counts for
5 papers
Optimal Shrinkage Estimation of Fixed Effects in Linear Panel Data Models
Soonwoo Kwon
Shrinkage methods are frequently used to improve the precision of least squares estimators of fixed effects. However, widely used shrinkage estimators guarantee improved precision…
Towards an Efficient ML System: Unveiling a Trade-off between Task Accuracy and Engineering Efficiency in a Large-scale Car Sharing Platform
Kyung Ho Park, Hyunhee Chung, Soonwoo Kwon
Upon the significant performance of the supervised deep neural networks, conventional procedures of developing ML system are \textit{task-centric}, which aims to maximize the task…
Bias-Aware Inference in Regularized Regression Models
Timothy B. Armstrong, Michal Kolesár, Soonwoo Kwon
We consider inference on a scalar regression coefficient under a constraint on the magnitude of the control coefficients. A class of estimators based on a regularized propensity sc…
Adaptive Inference in Multivariate Nonparametric Regression Models Under Monotonicity
Koohyun Kwon, Soonwoo Kwon
We consider the problem of adaptive inference on a regression function at a point under a multivariate nonparametric regression setting. The regression function belongs to a Hölder…
Inference in Regression Discontinuity Designs under Monotonicity
Koohyun Kwon, Soonwoo Kwon
We provide an inference procedure for the sharp regression discontinuity design (RDD) under monotonicity, with possibly multiple running variables. Specifically, we consider the ca…