Idris Arthur Eckley

University of Lancaster

United Kingdom

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Articles (19)

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2025

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2020

Collaborators (7)

Edward Austin

Lancaster University

UNITED KINGDOM

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Paul Fearnhead

University of Lancaster

UNITED KINGDOM

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Rebecca Killick

Associate Professor

University of Lancaster

UNITED KINGDOM

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Haeran Cho

Academic , Associate Professor in Statistics

University of Bristol

UNITED KINGDOM

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Andrea Vacchi

ITALY

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Guy Nason

University of Bristol

UNITED KINGDOM

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Matthew Nunes

Professor at Department of Mathematical Sciences

University of Bath

UNITED KINGDOM

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Idris Arthur Eckley

Research Interests

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Articles (19)

mixFOCuS

Poisson-FOCuS

Automatic locally stationary time series forecasting with application to predicting UK gross value added time series

anomaly: Detection of Anomalous Structure in Time Series Data

Gamma-Ray Burst Detection with Poisson-FOCuS and Other Trigger Algorithms

Detection of Emergent Anomalous Structure in Functional Data

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

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

Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection

High-dimensional time series segmentation via factor-adjusted vector autoregressive modelling

Innovative and Additive Outlier Robust Kalman Filtering with a Robust Particle Filter

Subset Multivariate Collective And Point Anomaly Detection

A computationally efficient, high-dimensional multiple changepoint procedure with application to global terrorism incidence

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

BayesProject

A novel change point approach for the detection of gas emission sources using remotely contained concentration data

The Local Partial Autocorrelation Function and some Applications

Parallelization of a Common Changepoint Detection Method

A nonparametric approach to detecting changes in variance in locally stationary time series

Collaborators (7)

Edward Austin

Paul Fearnhead

Rebecca Killick

Haeran Cho

Andrea Vacchi

Guy Nason

Matthew Nunes

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