Eckley, Idris A.

1. A computationally efficient nonparametric approach for changepoint detection
   2016/02/03 by Haynes, Kaylea, Fearnhead, Paul, Eckley, Idris A. · 3 citations
   #Computation (stat.CO) #FOS: Computer and information sciences
2. Real Time Anomaly Detection And Categorisation
   2020/09/14 by Alexander T. M. Fisch, Fisch, Alexander T. M., Lawrence Bardwell +3 · 2 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Applications (stat.AP) #Computation (stat.CO) #Data Stream Mining Techniques #FOS: Computer and information sciences #Methodology (stat.ME) #Network Security and Intrusion Detection
3. Scalable changepoint and anomaly detection in cross-correlated data with an application to condition monitoring
   2020/10/14 by Tveten, Martin, Eckley, Idris A., Fearnhead, Paul · 1 citation
   #Applications (stat.AP) #Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME)
4. A linear time method for the detection of point and collective anomalies
   2018/06/05 by Alexander T. M. Fisch, Fisch, Alexander T. M., Idris Arthur Eckley +3 · 1 citation
   Mathematics · Computer Science · Decision Sciences · #Advanced Statistical Methods and Models #Anomaly Detection Techniques and Applications #Advanced Statistical Process Monitoring
5. Consistency of a range of penalised cost approaches for detecting multiple changepoints
   2019/11/05 by Chao Zheng, Zheng, Chao, Idris A. Eckley +3 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Economics, Econometrics and Finance · Mathematics · #Complex Systems and Time Series Analysis #FOS: Computer and information sciences #FOS: Mathematics #Gene Regulatory Network Analysis #Methodology (stat.ME) #Statistical Methods and Inference #Statistics Theory (math.ST)
6. Efficient penalty search for multiple changepoint problems
   2014/12/11 by Kaylea Haynes, Haynes, Kaylea, Idris A. Eckley +3 · 1 citation
   Decision Sciences · Mathematics · #Advanced Statistical Methods and Models #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Optimal Experimental Design Methods