Idris A. Eckley

37 papers Journal 33Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Efficient Likelihood-Based Temporal Changepoint Detection in Spatio-Temporal Processes.
Stat. Comput.
Gaurav Agarwal, Idris A. Eckley, Paul Fearnhead
2024 J jnl
A Log-Linear Nonparametric Online Changepoint Detection Algorithm Based on Functional Pruning.
IEEE Trans. Signal Process.
Gaetano Romano, Idris A. Eckley, Paul Fearnhead
2024 J jnl
A communication-efficient, online changepoint detection method for monitoring distributed sensor networks.
Stat. Comput.
Ziyang Yang, Idris A. Eckley, Paul Fearnhead
2024 J jnl
A constant-per-iteration likelihood ratio test for online changepoint detection for exponential family models.
Stat. Comput.
Kes Ward, Gaetano Romano, Idris A. Eckley, Paul Fearnhead
2024 J jnl
Detection of Emergent Anomalous Structure in Functional Data.
Technometrics
Edward Austin, Idris A. Eckley, Lawrence Bardwell
2024 J jnl
anomaly: Detection of Anomalous Structure in Time Series Data.
J. Stat. Softw.
Alexander Tristan Maximilian Fisch, Daniel Grose, Idris A. Eckley, Paul Fearnhead, Lawrence Bardwell
2023 J jnl
Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics.
J. Mach. Learn. Res.
Gaetano Romano, Idris A. Eckley, Paul Fearnhead, Guillem Rigaill
2023 J jnl
Online non-parametric changepoint detection with application to monitoring operational performance of network devices.
Comput. Stat. Data Anal.
Edward Austin, Gaetano Romano, Idris A. Eckley, Paul Fearnhead
2023 J jnl
Semiparametric detection of changepoints in location, scale, and copula.
Stat. Anal. Data Min.
Gaurav Agarwal, Idris A. Eckley, Paul Fearnhead
2022 J jnl
A linear time method for the detection of collective and point anomalies.
Stat. Anal. Data Min.
Alexander Tristan Maximilian Fisch, Idris A. Eckley, Paul Fearnhead
2022 J jnl
Industry-Academia Research toward Future Network Intelligence: The NG-CDI Prosperity Partnership.
IEEE Netw.
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
2022 J jnl
Innovative and Additive Outlier Robust Kalman Filtering With a Robust Particle Filter.
IEEE Trans. Signal Process.
Alexander Tristan Maximilian Fisch, Idris A. Eckley, Paul Fearnhead
2022 J jnl
Real time anomaly detection and categorisation.
Stat. Comput.
Alexander Tristan Maximilian Fisch, Lawrence Bardwell, Idris A. Eckley
2022 J jnl
Subset Multivariate Collective and Point Anomaly Detection.
J. Comput. Graph. Stat.
Alexander Tristan Maximilian Fisch, Idris A. Eckley, Paul Fearnhead
2021 J jnl
A wavelet-based approach for imputation in nonstationary multivariate time series.
Stat. Comput.
Rebecca E. Wilson, Idris A. Eckley, Matthew A. Nunes, Timothy Park
2020 J jnl
BayesProject: Fast computation of a projection direction for multivariate changepoint detection.
Stat. Comput.
Georg Hahn, Paul Fearnhead, Idris A. Eckley
2019 J jnl
Dynamic detection of anomalous regions within distributed acoustic sensing data streams using locally stationary wavelet time series.
Data Min. Knowl. Discov.
Rebecca E. Wilson, Idris A. Eckley, Matthew A. Nunes, Timothy Park
2019 J jnl
Minimum spectral connectivity projection pursuit - Divisive clustering using optimal projections for spectral clustering.
Stat. Comput.
David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley
2019 J jnl
Most Recent Changepoint Detection in Panel Data.
Technometrics
Lawrence Bardwell, Paul Fearnhead, Idris A. Eckley, Simon Smith, Martin Spott
2019 J jnl
Subspace Clustering of Very Sparse High-Dimensional Data.
CoRR
Hankui Peng, Nicos G. Pavlidis, Idris A. Eckley, Ioannis Tsalamanis
2018 J jnl
Dynamic classification using multivariate locally stationary wavelet processes.
Signal Process.
Timothy Park, Idris A. Eckley, Hernando C. Ombao
2018 J jnl
Dynamic stochastic block models: parameter estimation and detection of changes in community structure.
Stat. Comput.
Matthew Ludkin, Idris A. Eckley, Peter Neal
2018 — conf
Subspace Clustering of Very Sparse High-Dimensional Data.
IEEE BigData
Hankui Peng, Nicos G. Pavlidis, Idris A. Eckley, Ioannis Tsalamanis
2017 J jnl
A computationally efficient nonparametric approach for changepoint detection.
Stat. Comput.
Kaylea Haynes, Paul Fearnhead, Idris A. Eckley
2017 J jnl
Multivariate locally stationary 2D wavelet processes with application to colour texture analysis.
Stat. Comput.
Sarah L. Taylor, Idris A. Eckley, Matthew A. Nunes
2016 J jnl
Divisive clustering of high dimensional data streams.
Stat. Comput.
David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley
2015 J jnl
Minimum Spectral Connectivity Projection Pursuit for Unsupervised Classification.
CoRR
David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley
2015 J jnl
The Uncertainty of Storm Season Changes: Quantifying the Uncertainty of Autocovariance Changepoints.
Technometrics
Christopher F. H. Nam, John A. D. Aston, Idris A. Eckley, Rebecca Killick
2014 J jnl
A Multiscale Test of Spatial Stationarity for Textured Images in R.
R J.
Matthew A. Nunes, Sarah L. Taylor, Idris A. Eckley
2014 J jnl
A Test of Stationarity for Textured Images.
Technometrics
Sarah L. Taylor, Idris A. Eckley, Matthew A. Nunes
2014 J jnl
Estimating Time-Evolving Partial Coherence Between Signals via Multivariate Locally Stationary Wavelet Processes.
IEEE Trans. Signal Process.
Timothy Park, Idris A. Eckley, Hernando C. Ombao
2013 J jnl
A Note on the Effect of Wavelet Choice on the Estimation of the Evolutionary Wavelet Spectrum.
Commun. Stat. Simul. Comput.
Aimee N. Gott, Idris A. Eckley
2013 — conf
The effect of recovery algorithms on compressive sensing background subtraction.
SDF
Rhian Davies, Lyudmila Mihaylova, Nicos G. Pavlidis, Idris A. Eckley
2005 J jnl
Efficient computation of the discrete autocorrelation wavelet inner product matrix.
Stat. Comput.
Idris A. Eckley, Guy P. Nason
2004 — conf
A Classifier Combination Tree Algorithm.
SSPR/SPR
Ross A. McDonald, Idris A. Eckley, David J. Hand
2004 J jnl
A Multiclass Extension To The Brownboost Algorithm.
Int. J. Pattern Recognit. Artif. Intell.
Ross A. McDonald, David J. Hand, Idris A. Eckley
2003 — conf
An Empirical Comparison of Three Boosting Algorithms on Real Data Sets with Artificial Class Noise.
Multiple Classifier Systems
Ross A. McDonald, David J. Hand, Idris A. Eckley