6 citations · 14 across the 7 of their papers we have counts for
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stat.ME2023★ 2 cited
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.ME2020★ 2 cited
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…
stat.ME2019★ 6 cited
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…