Jiang, Kuanhao, Mukherjee, Rajarshi, Sen, Subhabrata, and Sur, Pragya. A new central limit theorem for the augmented IPW estimator: Variance inflation, cross-fit covariance and beyond. Retrieved from https://par.nsf.gov/biblio/10633377. The Annals of Statistics 53.2 Web. doi:10.1214/24-AOS2476.

Jiang, Kuanhao, Mukherjee, Rajarshi, Sen, Subhabrata, & Sur, Pragya. A new central limit theorem for the augmented IPW estimator: Variance inflation, cross-fit covariance and beyond. The Annals of Statistics, 53 (2). Retrieved from https://par.nsf.gov/biblio/10633377. https://doi.org/10.1214/24-AOS2476

Jiang, Kuanhao, Mukherjee, Rajarshi, Sen, Subhabrata, and Sur, Pragya. "A new central limit theorem for the augmented IPW estimator: Variance inflation, cross-fit covariance and beyond". The Annals of Statistics 53 (2). Country unknown/Code not available: The Annals of Statistics. https://doi.org/10.1214/24-AOS2476. https://par.nsf.gov/biblio/10633377.

@article{osti_10633377,
place = {Country unknown/Code not available}, title = {A new central limit theorem for the augmented IPW estimator: Variance inflation, cross-fit covariance and beyond}, url = {https://par.nsf.gov/biblio/10633377}, DOI = {10.1214/24-AOS2476}, abstractNote = {}, journal = {The Annals of Statistics}, volume = {53}, number = {2}, publisher = {The Annals of Statistics}, author = {Jiang, Kuanhao and Mukherjee, Rajarshi and Sen, Subhabrata and Sur, Pragya}, }