activity
20152026
most citedA Multi-State Conditional Logistic Regression Model for the Analysis of Animal Movement

34 citations · 55 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2026

A Leave-One-Out Influence Statistic for Density-Based Outlier Detection

Aurélien Nicosia, Thierry Duchesne, Michel Carbon

We propose a density-based leave-one-out influence score for unsupervised outlier detection. The motivation is that outliers are naturally associated with regions of very small pro…

stat.ME2026

Identifiability and likelihood estimation for homogeneous angular regression with random coefficients

Aurélien Nicosia

Repeated directional responses may vary between individuals in both overall orientation and sensitivity to explanatory cues. We study homogeneous angular regression with correlated…

stat.ME2026

Tropical Viterbi Tubes for Decoding Uncertainty in Hidden Markov Models

Aurélien Nicosia

Hidden Markov models are widely used to infer latent state sequences from sequential data, but Viterbi decoding reports only one most likely complete path. When decoded states carr…

stat.ME2016★ 34 cited

A Multi-State Conditional Logistic Regression Model for the Analysis of Animal Movement

Aurélien Nicosia, Thierry Duchesne, Louis-Paul Rivest +1

A multi-state version of an animal movement analysis method based on conditional logistic regression, called Step Selection Function (SSF), is proposed. In ecology SSF is developed…

stat.ME2015★ 21 cited

A General Hidden State Random Walk Model for Animal Movement

Aurélien Nicosia, Thierry Duchesne, Louis-Paul Rivest +1

In this paper, we propose a general hidden state random walk model to describe the movement of an animal that takes into account movement taxis with respect to features of the envi…