Idris A. Eckley

According to our database, Idris A. Eckley authored at least 36 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Detection of Emergent Anomalous Structure in Functional Data.

Edward Austin, Idris A. Eckley, Lawrence Bardwell

Technometrics, October, 2024

A communication-efficient, online changepoint detection method for monitoring distributed sensor networks.

Ziyang Yang, Idris A. Eckley, Paul Fearnhead

Stat. Comput., June, 2024

A constant-per-iteration likelihood ratio test for online changepoint detection for exponential family models.

Kes Ward, Gaetano Romano, Idris A. Eckley, Paul Fearnhead

Stat. Comput., June, 2024

A Log-Linear Nonparametric Online Changepoint Detection Algorithm Based on Functional Pruning.

Gaetano Romano, Idris A. Eckley, Paul Fearnhead

IEEE Trans. Signal Process., 2024

anomaly: Detection of Anomalous Structure in Time Series Data.

Alexander Tristan Maximilian Fisch, Daniel Grose, Idris A. Eckley, Paul Fearnhead, Lawrence Bardwell

J. Stat. Softw., 2024

2023

Semiparametric detection of changepoints in location, scale, and copula.

Gaurav Agarwal, Idris A. Eckley, Paul Fearnhead

Stat. Anal. Data Min., October, 2023

Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics.

Gaetano Romano, Idris A. Eckley, Paul Fearnhead, Guillem Rigaill

J. Mach. Learn. Res., 2023

Online non-parametric changepoint detection with application to monitoring operational performance of network devices.

Edward Austin, Gaetano Romano, Idris A. Eckley, Paul Fearnhead

Comput. Stat. Data Anal., 2023

2022

Subset Multivariate Collective and Point Anomaly Detection.

Alexander Tristan Maximilian Fisch, Idris A. Eckley, Paul Fearnhead

J. Comput. Graph. Stat., January, 2022

Innovative and Additive Outlier Robust Kalman Filtering With a Robust Particle Filter.

Alexander Tristan Maximilian Fisch, Idris A. Eckley, Paul Fearnhead

IEEE Trans. Signal Process., 2022

A linear time method for the detection of collective and point anomalies.

Alexander Tristan Maximilian Fisch, Idris A. Eckley, Paul Fearnhead

Stat. Anal. Data Min., 2022

Real time anomaly detection and categorisation.

Alexander Tristan Maximilian Fisch, Lawrence Bardwell, Idris A. Eckley

Stat. Comput., 2022

Industry-Academia Research toward Future Network Intelligence: The NG-CDI Prosperity Partnership.

Nicholas J. P. Race, Idris A. Eckley, Ajith Kumar Parlikad, Charalampos Rotsos, Ning Wang, Robert J. Piechocki, Philip Stiles, Arjun Parekh, Trevor Burbridge, Peter Willis, Stephen A. Cassidy

IEEE Netw., 2022

2021

A wavelet-based approach for imputation in nonstationary multivariate time series.

Rebecca E. Wilson, Idris A. Eckley, Matthew A. Nunes, Timothy Park

Stat. Comput., 2021

2020

BayesProject: Fast computation of a projection direction for multivariate changepoint detection.

Georg Hahn, Paul Fearnhead, Idris A. Eckley

Stat. Comput., 2020

2019

Most Recent Changepoint Detection in Panel Data.

Lawrence Bardwell, Paul Fearnhead, Idris A. Eckley, Simon Smith, Martin Spott

Technometrics, 2019

Minimum spectral connectivity projection pursuit - Divisive clustering using optimal projections for spectral clustering.

David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley

Stat. Comput., 2019

Dynamic detection of anomalous regions within distributed acoustic sensing data streams using locally stationary wavelet time series.

Rebecca E. Wilson, Idris A. Eckley, Matthew A. Nunes, Timothy Park

Data Min. Knowl. Discov., 2019

2018

Dynamic classification using multivariate locally stationary wavelet processes.

Timothy Park, Idris A. Eckley, Hernando C. Ombao

Signal Process., 2018

Dynamic stochastic block models: parameter estimation and detection of changes in community structure.

Matthew Ludkin, Idris A. Eckley, Peter Neal

Stat. Comput., 2018

A linear time method for the detection of point and collective anomalies.

Alexander Tristan Maximilian Fisch, Idris Arthur Eckley, Paul Fearnhead

CoRR, 2018

Subspace Clustering of Very Sparse High-Dimensional Data.

Hankui Peng, Nicos G. Pavlidis, Idris A. Eckley, Ioannis Tsalamanis

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Multivariate locally stationary 2D wavelet processes with application to colour texture analysis.

Sarah L. Taylor, Idris A. Eckley, Matthew A. Nunes

Stat. Comput., 2017

A computationally efficient nonparametric approach for changepoint detection.

Kaylea Haynes, Paul Fearnhead, Idris A. Eckley

Stat. Comput., 2017

2016

Divisive clustering of high dimensional data streams.

David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley

Stat. Comput., 2016

2015

The Uncertainty of Storm Season Changes: Quantifying the Uncertainty of Autocovariance Changepoints.

Christopher F. H. Nam, John A. D. Aston, Idris A. Eckley, Rebecca Killick

Technometrics, 2015

Minimum Spectral Connectivity Projection Pursuit for Unsupervised Classification.

David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley

CoRR, 2015

2014

Estimating Time-Evolving Partial Coherence Between Signals via Multivariate Locally Stationary Wavelet Processes.

Timothy Park, Idris A. Eckley, Hernando C. Ombao

IEEE Trans. Signal Process., 2014

A Test of Stationarity for Textured Images.

Sarah L. Taylor, Idris A. Eckley, Matthew A. Nunes

Technometrics, 2014

A Multiscale Test of Spatial Stationarity for Textured Images in R.

Matthew A. Nunes, Sarah L. Taylor, Idris A. Eckley

R J., 2014

2013

A Note on the Effect of Wavelet Choice on the Estimation of the Evolutionary Wavelet Spectrum.

Aimee N. Gott, Idris A. Eckley

Commun. Stat. Simul. Comput., 2013

The effect of recovery algorithms on compressive sensing background subtraction.

Rhian Davies, Lyudmila Mihaylova, Nicos G. Pavlidis, Idris A. Eckley

Proceedings of the Workshop on Sensor Data Fusion: Trends, Solutions, Applications, 2013

2005

Efficient computation of the discrete autocorrelation wavelet inner product matrix.

Idris A. Eckley, Guy P. Nason

Stat. Comput., 2005

2004

A Multiclass Extension To The Brownboost Algorithm.

Ross A. McDonald, David J. Hand, Idris A. Eckley

Int. J. Pattern Recognit. Artif. Intell., 2004

A Classifier Combination Tree Algorithm.

Ross A. McDonald, Idris A. Eckley, David J. Hand

Proceedings of the Structural, 2004

2003

An Empirical Comparison of Three Boosting Algorithms on Real Data Sets with Artificial Class Noise.

Ross A. McDonald, David J. Hand, Idris A. Eckley

Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003