Accurate positioning is vital for applications ranging from autonomous vehicles to precision agriculture, yet atmospheric ...

Likelihood cross-validation for kernel density estimation is known to be sensitive to extreme observations and heavy-tailed distributions. We propose a robust likelihood-based cross-validation method ...

A new method called MIGHT accurately quantifies uncertainty in medical AI predictions, enhancing confidence in diagnostic ...