3 papers
stat.ME2023
Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models
Jungjun Choi, Ming Yuan
This paper develops an inferential framework for matrix completion when missing is not at random and without the requirement of strong signals. Our development is based on the obse…
econ.EM2023
Inference for Low-rank Completion without Sample Splitting with Application to Treatment Effect Estimation
Jungjun Choi, Hyukjun Kwon, Yuan Liao
This paper studies the inferential theory for estimating low-rank matrices. It also provides an inference method for the average treatment effect as an application. We show that th…
math.ST2019
Bias Correction and Robust Inference in Semiparametric Models
Jungjun Choi, Xiye Yang
This paper analyzes several different biases that emerge from the (possibly) low-precision nonparametric ingredient in a semiparametric model. We show that both the variance part a…