1 citations · 2 across the 5 of their papers we have counts for
7 papers
Adjusting for Social Groups in Spatial Point Process Models for Waiting Pedestrian Configurations
Lars Sickert Karam, Rui M. Castro, Maarten Schoukens +1
The spatial distribution of waiting pedestrians has two primary drivers: environmental preference and interaction with other pedestrians. Spatial point processes naturally capture…
Modeling inhomogeneous spatial point configurations with applications to replicated patterns in real-life waiting crowds
Lars Sickert Karam, Rui M. Castro, Maarten Schoukens +1
In this article, we connect statistical inference for spatial point processes with the analysis of waiting pedestrian crowds through two interconnected contributions. First, on the…
Anytime-Valid Tests for Sparse Anomalies
Muriel F. Pérez-Ortiz, Rui M. Castro, Ivo V. Stoepker
We consider the problem of testing sequentially for the presence of sparse anomalies among a large number of data streams. To this end, we design and analyze Anytime-Valid (AV) tes…
Inference with Sequential Monte-Carlo Computation of -values: Fast and Valid Approaches
Ivo V. Stoepker, Rui M. Castro
Hypothesis tests calibrated by (re)sampling methods (such as permutation, rank and bootstrap tests) are useful tools for statistical analysis, at the computational cost of requirin…
Invariant Causal Prediction with Local Models
Alexander Mey, Rui Manuel Castro
We consider the task of identifying the causal parents of a target variable among a set of candidates from observational data. Our main assumption is that the candidate variables a…
Sparse Anomaly Detection Across Referentials: A Rank-Based Higher Criticism Approach
Ivo V. Stoepker, Rui M. Castro, Ery Arias-Castro
Detecting anomalies in large sets of observations is crucial in various applications, such as epidemiological studies, gene expression studies, and systems monitoring. We consider…
Detecting a late changepoint in the preferential attachment model
Gianmarco Bet, Kay Bogerd, Rui M. Castro +1
Motivated by the problem of detecting a change in the evolution of a network, we consider the preferential attachment random graph model with a time-dependent attachment function.…