
Siddharth Arora
Departmental Lecturer in Management Science
- siddharth.arora@sbs.ox.ac.uk
Saïd Business School
University of Oxford
Park End Street
Oxford
OX1 1HP
Profile
Siddharth Arora is a Departmental Lecturer in Management Science at Saïd Business School.
He obtained his DPhil from the University of Oxford and his research is primarily aimed at developing statistical models for time series forecasting.
Research
Siddharth’s research interests include: time series analysis, probabilistic forecasting, biomedical signal processing, chaos synchronization, and model combination.
His research has applications in the following areas: Healthcare (modelling disease symptom severity using wearable technologies), Energy (predicting residential and SME electricity consumption recorded using smart meters), Macroeconomics (modelling GNP), and Climate (comparing forecasts from GCMs with statistical time series models).
Publications
Probabilistic forecasting of patient waiting times in an emergency department(opens in new window)
- Journal article
- Manufacturing and Service Operations Management
Probabilistic load forecasting using post-processed weather ensemble predictions(opens in new window)
- Journal article
- Journal of the Operational Research Society
Data-Driven Subtyping of Parkinson’s Using Acoustic Analysis of Sustained Vowels and Cluster Analysis: Findings in the Parkinson’s Voice Initiative Study(opens in new window)
- Journal article
- SN Computer Science
Assessing Parkinson's disease at scale using telephone-recorded speech: Insights from the Parkinson's Voice Initiative(opens in new window)
- Journal article
- Diagnostics
Review of low voltage load forecasting: methods, applications, and recommendations(opens in new window)
- Journal article
- Applied Energy
Teaching
Siddharth teaches on the MBA programme. He has also taught the Statistical Research Methods course to the School’s DPhil students.
He teaches the Advanced Financial Data Analysis and Econometrics of Volatility courses to Masters in Mathematical and Computational Finance (MScMCF) students at the Mathematical Institute, Oxford.