Researchers have created a prediction method that comes startlingly close to real-world results. It works by aiming for ...

Economists often rely on estimates of linear fixed effects models developed by other teams of researchers. Assessing the uncertainty in these estimates can be challenging. I propose a form of sample ...

Abstract: This paper presents the modeling and experimental testing of a linear discrete-time Kalman filter (KF) to estimate the contact wrench (force/torque vector) of an unknown robot end effector ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...