3 papers
stat.ME2026
Return-to-Baseline Testing via Empirically Calibrated e-processes
Marta Regis, Paulo Serra
We consider the problem of detecting a Return to Baseline (RtB) in high-frequency monitoring data preceding and following an intervention, where the aim is to identify the time at…
stat.ME2020
Random autoregressive models: A structured overview
Marta Regis, Paulo Serra, Edwin R. van den Heuvel
Models characterized by autoregressive structure and random coefficients are powerful tools for the analysis of high-frequency, high-dimensional and volatile time series. The avail…
stat.AP2019
Robust probabilistic modeling of photoplethysmography signals with application to the classification of premature beats
M. Regis, L. M. Eerikäinen, R. Haakma +2
In this paper we propose a robust approach to model photoplethysmography (PPG) signals. After decomposing the signal into two components, we focus the analysis on the pulsatile par…