ENBIS-22 Trondheim Conference

Session

INVITED Italian SiS

28 Jun 2022, 08:30

EL2

Conveners

INVITED Italian SiS

• Rossella Berni

21. Implementation of self-starting monitoring schemes based on online parameter learning

Prof. Giovanna Capizzi (Department of Statistical Sciences)

28/06/2022, 08:30

Other/special session/invited session

Self-starting control charts have been proposed as alternative methods for testing process stability when the in-control (IC) process parameters are unknown and their prospective monitoring has to start with few initial observations. Self-starting schemes use consecutive observations to simultaneously update the parameter estimates and check for out-of-control (OC) conditions. Although such...

22. Optimal subset selection without outliers

Laura Deldossi (Università Cattolica del Sacro Cuore)

28/06/2022, 09:00

Other/special session/invited session

With the advent of ‘Big Data’, massive data sets are becoming increasingly prevalent. Several subdata selection are proposed in these last few years both to reduce the computational burden and to improve cost effectiveness and learning of the phenomenon. Some of these proposals (Drovandi et al., 2017; Wang et al., 2019; Deldossi and Tommasi (2021) among others) are inspired to Optimal...

15. Comparing Nonparametric Change-Point Control Charts for Detecting Radioxenon Anomalous Concentrations

Prof. Michele Scagliarini (Department of Statistical Sciences, University of Bologna, Italy)

28/06/2022, 09:30

Other/special session/invited session

The detection of anomalous radioxenon atmospheric concentrations is an important activity, carried out by the International Data Centre (IDC) of the Comprehensive Nuclear Test-Ban Treaty Organization (CTBTO), for revealing both underground nuclear explosions and radioactive emissions from nuclear power plants or medical isotope production facilities. The radioxenon data are validated by IDC in...