output
20072026
most citedA Kernel Test for Three-Variable Interactions

25 citations

7 papers

stat.ME2026

Exact Multiple Change-Point Detection Via Smallest Valid Partitioning

Vincent Runge, Anica Kostic, Alexandre Combeau +1

We introduce smallest valid partitioning (SVP), a segmentation method for multiple change-point detection in time-series. SVP relies on a local notion of segment validity: a candid…

math.OC2025

Competition among seaports through Mean Field Games and real-world data

Charles-Albert Lehalle, Giulia Livieri

This paper presents a Mean Field Game (MFG) model for maritime traffic flow, treating the navigation of ships between seaports as a large-scale stochastic control problem. The MFG…

cs.SI2020★ 2 cited

Popularity Prediction for Social Media over Arbitrary Time Horizons

Daniel Haimovich, Dima Karamshuk, Thomas J. Leeper +2

Predicting the popularity of social media content in real time requires approaches that efficiently operate at global scale. Popularity prediction is important for many application…

stat.ME2013★ 25 cited

A Kernel Test for Three-Variable Interactions

Dino Sejdinovic, Arthur Gretton, Wicher Bergsma

We introduce kernel nonparametric tests for Lancaster three-variable interaction and for total independence, using embeddings of signed measures into a reproducing kernel Hilbert s…

cs.OH2010★ 7 cited

Biopsym : a learning environment for transrectal ultrasound guided prostate biopsies

Janssoone Thomas, Grégoire Chevreau, Lucile Vadcard +2

This paper describes a learning environment for image-guided prostate biopsies in cancer diagnosis; it is based on an ultrasound probe simulator virtually exploring real datasets o…

physics.soc-ph2010

Probabilistic spreading of information in a spatial network

Krzysztof Malarz, Vikas Chandra, Eve Mitleton-Kelly +1

Spread of information in crowd is analysed in terms of directed percolation in two-dimensional spatial network. We investigate the case when the information transmitted can be inco…