sokbae

sketching

Sketching of Data via Random Subspace Embeddings

ciccr

Causal Inference in Case-Control Studies

llss-2018-jasa

persuasio

Estimating the Effect of Persuasion in Stata

Best-Subset-Binary-Prediction

Matlab codes for the best subset binary prediction method

Best-Subset-Binary-Prediction-py

Dimension-reducing-conditional-moment-inequalities

Gauss codes for replicating the simulation results of Chen and Lee (2019) on dimension reducing conditional moment inequalities for discrete choice models

fadtwo

FActor-Driven TWO-regime regressions

illinois-wellness-data

Public use data for the Illinois Workplace Wellness Study

IVQR-GMM-computation-codes

Matlab codes for exact computation of IVQR GMM estimators

IVQR-GMM-Python

ivqrgmm-r

L0-ERM

Matlab codes for the L0-ERM binary classification method

llss-rz

Matlab-data-coll

This project provides Matlab commands for covariate and sample size selection in randomized control trials

prescience-r

R package of the Approximate Best Subset Maximum Binary Prediction Rule (PRESCIENCE) proposed by Chen and Lee (2018).

replication-JunLee-2023-AISTATS

replication-JunLee-JBES

replication-LeeNg-2022-ICML

Replication Files for Lee and Ng (2022, ICML)

sampleproject

A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

sparseHP

Sparse HP and other filtering procedures proposed in Lee et al. (2020)

SparseQR

Matlab codes for L0-based regularized quantile regression methods