activity
20242026
most citedDendrogram of mixing measures: Hierarchical clustering and model selection for finite mixture models

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

math.ST2026

Consistency of penalized maximum likelihood estimation for multidimensional change-in-velocity detection

Linh Do, Dat Do, Scott A. McKinley

We establish statistical consistency for the penalized maximum-likelihood estimator underlying CPLASS, a method for detecting changes in velocity in -dimensional time-series dat…

cs.CV2026

EA-Swin: An Embedding-Agnostic Swin Transformer for AI-Generated Video Detection

Hung Mai, Loi Dinh, Duc Hai Nguyen +6

Recent advances in foundation video generators such as Sora2, Veo3, and other commercial systems have produced highly realistic synthetic videos, exposing the limitations of existi…

stat.ME2025

Change-in-velocity detection for multidimensional data

Linh Do, Dat Do, Keisha J. Cook +2

In this work, we introduce CPLASS (Continuous Piecewise-Linear Approximation via Stochastic Search), an algorithm for detecting changes in velocity within multidimensional data. Th…

math.ST2025

Dirichlet moment tensors and the correspondence between admixture and mixture of product models

Dat Do, Sunrit Chakraborty, Jonathan Terhorst +1

Understanding posterior contraction behavior in Bayesian hierarchical models is of fundamental importance, but progress in this question is relatively sparse in comparison to the t…

stat.ME2024★ 1 cited

Dendrogram of mixing measures: Hierarchical clustering and model selection for finite mixture models

Dat Do, Linh Do, Scott A. McKinley +2

We present a new way to summarize and select mixture models via the hierarchical clustering tree (dendrogram) constructed from an overfitted latent mixing measure. Our proposed met…