11 citations · 15 across the 4 of their papers we have counts for
4 papers
Non-asymptotic inference for multivariate change point detection
Ian Barnett
Traditional methods for inference in change point detection often rely on a large number of observed data points and can be inaccurate in non-asymptotic settings. With the rise of…
Permutation-based Hypothesis Testing for Neural Networks
Francesca Mandel, Ian Barnett
Neural networks are powerful predictive models, but they provide little insight into the nature of relationships between predictors and outcomes. Although numerous methods have bee…
Feature-Based Classification of Networks
Ian Barnett, Nishant Malik, Marieke L. Kuijjer +2
Network representations of systems from various scientific and societal domains are neither completely random nor fully regular, but instead appear to contain recurring structural…
Change Point Detection in Correlation Networks
Ian Barnett, Jukka-Pekka Onnela
Many systems of interacting elements can be conceptualized as networks, where network nodes represent the elements and network ties represent interactions between the elements. In…