MIT Proposes Novel End-to-End Procedure for Corrupted Data Cleaning, Estimation, and Inference | Synced
A research team from MIT proposes a unified framework for estimation and inference in the presence of various forms of economic data corruption such as measurement errors, missing values, discretiz...
Source: Synced | AI Technology & Industry Review
A research team from MIT proposes a unified framework for estimation and inference in the presence of various forms of economic data corruption such as measurement errors, missing values, discretization, and differential privacy.