Research | Nicola Rennie

Research

By Nicola Rennie in Research

October 1, 2022

My research interests lie in statistics and operational research, more specifically in time series analysis, forecasting, and outlier detection with a focus on applications of methodology. My research thus far has focused on the development and use of functional analysis for detecting outliers in time series data. We have performed case studies on multiple empirical data sets including railway booking data and bike-sharing usage data.

A blog post giving an overview of my PhD thesis is available on my website.

Publications and Working Papers

Publications

We’re not getting any younger! Or should that be older? N. Rennie. Significance (online). 2022. Link: www.significancemagazine.com/science/723-we-re-not-getting-any-younger-or-should-that-be-older.

Detecting demand outliers in transport systems N. Rennie. PhD Thesis. 2021. Link: eprints.lancs.ac.uk/id/eprint/160845/.

Identifying and responding to outlier demand in revenue management. N. Rennie, C. Cleophas, A. M. Syksulski, F. Dost. European Journal of Operational Research. Volume 293, Issue 3, 16 September 2021, 1015-1030. doi: doi.org/10.1016/j.ejor.2021.01.002.

Working Papers

Analysing and visualising bike sharing demand with outliers. N. Rennie, C. Cleophas, A. M. Syksulski, F. Dost. 2022. Under revision. Pre-print: arxiv.org/abs/2204.06112.

Detecting outlying demand in multi-leg bookings for transportation networks. N. Rennie, C. Cleophas, A. M. Syksulski, F. Dost. 2021. Under revision. Pre-print: arxiv.org/abs/2104.04157.

Posted on:
October 1, 2022
Length:
1 minute read, 195 words
Categories:
Research