Rebecca Killick

Associate Professor

University of Lancaster

United Kingdom

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About

Rebecca Killick is an Associate Professor at Lancaster University in the United Kingdom. Her research areas include changepoint detection, time series forecasting, and ecosystem service multifunctionality, as evidenced by her recent articles. She has contributed to the field through various studies, such as those focusing on nonstationary soil moisture dynamics and the impact of restoration interventions on grassland ecosystems. Additionally, she addresses significant topics related to climate change and healthcare outcomes.

Articles (19)

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2025

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2022

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2021

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2021

Collaborators (21)

Euan McGonigle

University of Southampton

UNITED KINGDOM

Rebecca Killick

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Articles (19)

Multiple targeted grassland restoration interventions enhance ecosystem service multifunctionality

Online Detection of Forecast Model Inadequacies Using Forecast Errors

A changepoint approach to modelling non-stationary soil moisture dynamics

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

Changepoint detection on daily home activity pattern: a sliced Poisson process method

A recent surge in global warming is not detectable yet

Detection of spatiotemporal changepoints – a generalised additive model approach

Multi-step estimators and shrinkage effect in time series models

Characterising the ice sheet surface in Northeast Greenland using Sentinel-1 SAR data

Delay in loop ileostomy reversal surgery does not impact upon post-operative clinical outcomes. Complications are associated with an increased loss of microflora in the defunctioned intestine

Identifying irregular activity sequences: an application to passive household monitoring

Detecting Changes in Covariance via Random Matrix Theory

Graphical Influence Diagnostics for Changepoint Models

Trend locally stationary wavelet processes

The evolving role of weather types on rainfall chemistry under large reductions in pollutant emissions

Data Science in Science: Special Issue on Data Science in Modern Finance

A comparison of single and multiple changepoint techniques for time series data

Detecting changes in mean in the presence of time‐varying autocovariance

Is there seasonal variation in gallstone related admissions in England?

Collaborators (21)

Euan McGonigle

Jessica Davies

Idris Arthur Eckley

Rachael Rigby

Nikolaos Kourentzes

David Matteson

Ruey S. Tsay

Barbara Shih

Robert Lund

Ivan Svetunkov

Christopher Nemeth

Ines Wilms

Andrew Wilby

Amber Leeson

Aaron Paul Lowther

Israel Martínez-Hernández

Gordon Shaw Blair

Peter Manning

Richard D. Bardgett

Guy Nason

Matthew Nunes

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