6 citations · 14 across the 7 of their papers we have counts for
7 papers
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…
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…
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…
A PRticle filter algorithm for nonparametric estimation of multivariate mixing distributions
Vaidehi Dixit, Ryan Martin
Predictive recursion (PR) is a fast, recursive algorithm that gives a smooth estimate of the mixing distribution under the general mixture model. However, the PR algorithm requires…
Revisiting consistency of a recursive estimator of mixing distributions
Vaidehi Dixit, Ryan Martin
Estimation of the mixing distribution under a general mixture model is a very difficult problem, especially when the mixing distribution is assumed to have a density. Predictive re…
Estimating a mixing distribution on the sphere using predictive recursion
Vaidehi Dixit, Ryan Martin
Mixture models are commonly used when data show signs of heterogeneity and, often, it is important to estimate the distribution of the latent variable responsible for that heteroge…
Permutation-based uncertainty quantification about a mixing distribution
Vaidehi Dixit, Ryan Martin
Nonparametric estimation of a mixing distribution based on data coming from a mixture model is a challenging problem. Beyond estimation, there is interest in uncertainty quantifica…