output
20082025
most citedProbabilistic prediction of neurological disorders with a statistical assessment of neuroimaging data modalities

36 citations

23 papers

math.PR2025

Derivative formula for capacities

Amine Asselah, Bruno Schapira, Perla Sousi

We obtain a derivative formula for various notions of capacity. Namely we identify the second order term in the asymptotic expansion of the capacity of a union of two sets, as thei…

cond-mat.stat-mech2025★ 2 cited

Effective and asymptotic scaling in a one-dimensional billiard problem

T. Holovatch, Yu. Kozitsky, K. Pilorz +1

The emergence of power laws that govern the large-time dynamics of a one-dimensional billiard of point particles is analysed. In the initial state, the resting particles are pl…

cs.SI2024★ 3 cited

Interconnected Kingdoms: Comparing 'A Song of Ice and Fire' Adaptations Across Media Using Complex Networks

Arthur Amalvy, Madeleine Janickyj, Shane Mannion +2

In this article, we propose and apply a method to compare adaptations of the same story across different media. We tackle this task by modelling such adaptations through character…

stat.CO2024

The ARR2 prior: flexible predictive prior definition for Bayesian auto-regressions

David Kohns, Noa Kallioinen, Yann McLatchie +1

We present the ARR2 prior, a joint prior over the auto-regressive components in Bayesian time-series models and their induced . Compared to other priors designed for times-ser…

stat.AP2024★ 3 cited

A Bayesian hierarchical mixture cure modelling framework to utilize multiple survival datasets for long-term survivorship estimates: A case study from previously untreated metastatic melanoma

Nathan Green, Murat Kurt, Andriy Moshyk +2

Time to an event of interest over a lifetime is a central measure of the clinical benefit of an intervention used in a health technology assessment (HTA). Within the same trial, mu…

cs.HC2022★ 3 cited

Teaching Visual Accessibility in Introductory Data Science Classes with Multi-Modal Data Representations

JooYoung Seo, Mine Dogucu

Although there are various ways to represent data patterns and models, visualization has been primarily taught in many data science courses for its efficiency. Such vision-dependen…