We are very pleased to invite you to our next seminar of

Seminar series in Statistics and Data Science

Speaker:  Edward Austin, Senior research associate, Lancaster University

Title: Detecting Emergent Anomalies in Functional Data 

When? Tuesday 06.06.2023, 14:15-15:15 

Where?  Erling Svedrups plass and Zoom https://uio.zoom.us/j/61696001256?pwd=ZTVSUXJSUjNLYW5VR3AxRnI1MU5Edz09 

Abstract: 
This talk will focus on recent work about the sequential detection of anomalies within partially observed functional data, motivated by a problem encountered by an industrial collaborator. Classical sequential changepoint detection approaches look for changes in the parameters, or structure, of a data sequence and are not equipped to handle the complex non-stationarity and dependency structure of functional data. Conversely, existing functional data approaches require the full observation of the curve before anomaly detection can take place. We propose a new method, FAST, that performs sequential detection of anomalies in partially observed functional data. This talk will introduce the approach, and some associated theoretical results, and highlight its application on telecommunications data.

Welcome!

Best regards,
Sven Ove Samuelsen & Aliaksandr Hubin