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 daily COVID-19 admissions using machine learning(opens in new window)
- Journal article
- IMA Journal of Management Mathematics
Probabilistic Forecasting of Patient Waiting Times in an Emergency Department(opens in new window)
- Journal article
- Manufacturing & Service Operations Management
Probabilistic forecasting of patient waiting times in an emergency department(opens in new window)
- Journal article
- Manufacturing and Service Operations Management
Corrigendum: Determination of CSF GFAP, CCN5, and vWF levels enhances the diagnostic accuracy of clinically defined MS from non-MS patients with CSF oligoclonal bands.(opens in new window)
- Journal article
- Frontiers in immunology
Probabilistic load forecasting using post-processed weather ensemble predictions(opens in new window)
- Journal article
- Journal of the Operational Research Society
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.