21 citations · 29 across the 7 of their papers we have counts for
8 papers
Monitoring the calibration of probability forecasts with an application to concept drift detection involving image classification
Christopher T. Franck, Anne R. Driscoll, Zoe Szajnfarber +1
Machine learning approaches for image classification have led to impressive advances in that field. For example, convolutional neural networks are able to achieve remarkable image…
A Critique of a Variety of "Memory-Based'' Process Monitoring Methods
Sven Knoth, Nesma A. Saleh, Mahmoud A. Mahmoud +2
Many extensions and modifications have been made to standard process monitoring methods such as the exponentially weighted moving average (EWMA) chart and the cumulative sum (CUSUM…
A Review and Critique of Auxiliary Information-Based Process Monitoring Methods
Nesma A. Saleh, Mahmoud A. Mahmoud, William H. Woodall +1
We review the rapidly growing literature on auxiliary information-based (AIB) process monitoring methods. Under this approach, there is an assumption that the auxiliary variable, w…
The Case against Generally Weighted Moving Average (GWMA) Control Charts
Sven Knoth, William H. Woodall, Víctor G. Tercero-Gómez
We argue against the use of generally weighted moving average (GWMA) control charts. Our primary reasons are the following: 1) There is no recursive formula for the GWMA control ch…
Multivariate Time-Between-Events Monitoring -- An overview and some (overlooked) underlying complexities
Inez Maria Zwetsloot, Tahir Mahmood, William H. Woodall
We review methods for monitoring multivariate time-between-events (TBE) data. We present some underlying complexities that have been overlooked in the literature. It is helpful to…
The Value of Summary Statistics for Anomaly Detection in Temporally-Evolving Networks: A Performance Evaluation Study
Lata Kodali, Srijan Sengupta, Leanna House +1
Network data has emerged as an active research area in statistics. Much of the focus of ongoing research has been on static networks that represent a single snapshot or aggregated…
Statistical Evaluation of Spectral Methods for Anomaly Detection in Networks
Tomilayo Komolafe, A. Valeria Quevedo, Srijan Sengupta +1
Monitoring of networks for anomaly detection has attracted a lot of attention in recent years especially with the rise of connected devices and social networks. This is of importan…
An overview and perspective on social network monitoring
William H. Woodall, Meng J. Zhao, Kamran Paynabar +2
In this expository paper we give an overview of some statistical methods for the monitoring of social networks. We discuss the advantages and limitations of various methods as well…