Search Results for author:
Found 2 papers, 0 papers with code
Enhancing Educational Outcome with Machine Learning: Modeling Friendship Formation, Measuring Peer Effect and Optimizing Class Assignment
We break the problem into three stages (1) friendship prediction (2) peer effect estimation (3) class assignment optimization.
Estimating overidentified linear models with heteroskedasticity and outliers
This paper formalizes this concept and applies the new definition of approximate bias to three classes of estimators that bridge between OLS, TSLS and a variant of JIVE, namely, JIVE1.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
