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stat.ME2026★ 1 cited
Multiple change-point detection for Poisson point processes
C. Dion-Blanc, D. Hawat, E. Lebarbier +1
The aim of change-point detection is to identify behavioral shifts within time series data. This article focuses on scenarios where the data is derived from an inhomogeneous Poisso…
stat.ME2026
Inferring the presence and abundance of rare waterbirds species from scarce data
Barbara Bricout, Laura Dami, Pierre Defos du Rau +3
Abundance data are used in ecology for species monitoring and conservation. These count data often display several specific characteristics like numerous missing data, high varianc…
stat.ME2025
A Markov switching discrete-time Hawkes process: application to the monitoring of bats behavior
Anna Bonnet, Stéphane Robin
Over the past few decades, the Hawkes process has become a popular framework for modeling temporal events thanks to its flexibility to capture different dependency structures. The…