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math.ST2026
Vertex misalignment and changepoint localization in network time series
Tianyi Chen, Mohammad Sharifi Kiasari, Sijing Yu +5
Inference for time series of networks often relies on accurate vertex correspondence between network realizations at different times. In practice, however, such vertex alignments c…
math.ST2026
Nonparametric two-sample hypothesis testing for low-rank random graphs of differing sizes
Joshua Agterberg, Minh Tang, Carey Priebe
Given two networks of differing sizes, it is of interest to test whether the two networks belong to the same distribution. We formalize the notion of "equality of distribution" und…
math.ST2025
Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations
Aranyak Acharyya, Carey E. Priebe, Hayden S. Helm
Given an input query, generative models such as large language models produce a random response drawn from a response distribution. Given two input queries, it is natural to ask if…