Detection of abrupt changes: theory and application
Detection of abrupt changes: theory and application
Diagnosis and Fault-Tolerant Control
Diagnosis and Fault-Tolerant Control
Computation of the ARL for CUSUM-S2 schemes
Computational Statistics & Data Analysis
Information bounds and quick detection of parameter changes in stochastic systems
IEEE Transactions on Information Theory
Sequential multiple hypothesis testing and efficient fault detection-isolation in stochastic systems
IEEE Transactions on Information Theory
A simple recursive algorithm for diagnosis of abrupt changes in random signals
IEEE Transactions on Information Theory
Online activity detection in a multiuser environment using the matrix CUSUM algorithm
IEEE Transactions on Information Theory
A lower bound for the detection/isolation delay in a class of sequential tests
IEEE Transactions on Information Theory
A generalized change detection problem
IEEE Transactions on Information Theory
Online annotation and prediction for regime switching data streams
Proceedings of the 2009 ACM symposium on Applied Computing
Fault semantic networks for accident forecasting of LNG plants
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Exponentially weighted moving average charts for detecting concept drift
Pattern Recognition Letters
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Ever since the introduction of hidden Markov models by Baum and his co-workers, the method of choice for fitting such models has been maximum likelihood via the EM algorithm. In recent years it has been noticed that the gradient and Hessian of the log ...