3 papers
stat.OT2025
An Anytime Valid Test for Complete Spatial Randomness
Vaidehi Dixit, Christopher K. Wikle, Scott H. Holan
A relevant question when analyzing spatial point patterns is that of spatial randomness. More specifically, before any model can be fit to a point pattern a first step is to test t…
stat.ME2024
Anytime valid and asymptotically optimal inference driven by predictive recursion
Vaidehi Dixit, Ryan Martin
Distinguishing two candidate models is a fundamental and practically important statistical problem. Error rate control is crucial to the testing logic but, in complex nonparametric…
stat.AP2024
Incorporating Asymmetric Loss for Real Estate Prediction with Area-level Spatial Data
Vaidehi Dixit, Scott H. Holan, Christopher K. Wikle
We investigate two asymmetric loss functions, namely LINEX loss and power divergence loss for optimal spatial prediction with area-level data. With our motivation arising from the…