Staff profile
Overview
https://www.dur.ac.uk/images/mathematical.sciences/Maths_Staff_2018/Du.jpeg
Hailiang Du
Associate Professor, Statistics
PhD London School of Economics
| Affiliation | Room number | Telephone |
|---|---|---|
| Associate Professor, Statistics in the Department of Mathematical Sciences | MCS3066 | +44 (0) 191 33 43081 |
Research interests
- Forecast evaluation
- Nonlinear time series analysis
- Machine Learning
- Data Assimilation
- Uncertainty Quantification
- Weather and Climate modelling
- Energy System Optimisation
Research groups
- Statistics
Publications
Journal Article
- Du, Hailiang, Sun, Wei, Goldstein, Michael & Harrison, Gareth (2021). Optimization via Statistical Emulation and Uncertainty Quantification: Hosting Capacity Analysis of Distribution Networks. IEEE Access 9: 118472-118483.
- Du, Hailiang (2021). Beyond Strictly Proper Scoring Rules: The Importance of Being Local. Weather and Forecasting 36(2): 457-468.
- Smith, Leonard A., Du, Hailiang & Higgins, Sarah (2020). Designing Multimodel Applications with Surrogate Forecast Systems. Monthly Weather Review 148(6): 2233-2249.
- M, Royapoor, H, Du, N, Wade, M, Goldstein, T, Roskilly, P, Taylor & S, Walker (2019). Carbon mitigation unit costs of building retrofits and the scope for carbon tax, a case study. Energy and Buildings 203: 109415.
- Du, Hailiang & Smith, Leonard A. (2017). Multi-model cross-pollination in time. Physica D: Nonlinear Phenomena 353-354: 31-38.
- Du, Hailiang & Smith, Leonard A. (2017). Rising Above Chaotic Likelihoods. SIAM/ASA Journal on Uncertainty Quantification 5(1): 246-258.
- Smith, Leonard A., Suckling, Emma B., Thompson, Erica L., Maynard, Trevor & Du, Hailiang (2015). Towards improving the framework for probabilistic forecast evaluation. Climatic Change 132(1): 31-45.
- Smith, Leonard A., Du, Hailiang, Suckling, Emma B. & Niehörster, Falk (2015). Probabilistic skill in ensemble seasonal forecasts. Quarterly Journal of the Royal Meteorological Society 141(689): 1085-1100.
- Du, Hailiang & Smith, Leonard A. (2014). Pseudo-Orbit Data Assimilation. Part II: Assimilation with Imperfect Models. Journal of the Atmospheric Sciences 71(2): 483-495.
- Du, Hailiang & Smith, Leonard A. (2014). Pseudo-Orbit Data Assimilation. Part I: The Perfect Model Scenario. Journal of the Atmospheric Sciences 71(2): 469-482.
- Frigg, Roman, Bradley, Seamus, Du, Hailiang & Smith, Leonard A. (2014). Laplace’s Demon and the Adventures of His Apprentices. Philosophy of Science 81(1): 31-59.
- Du, Hailiang & Smith, Leonard A. (2012). Parameter estimation through ignorance. Physical Review E 86(1): 016213.
- Smith, Leonard A., Cuéllar, Milena C., Du, Hailiang & Judd, Kevin (2010). Exploiting dynamical coherence: A geometric approach to parameter estimation in nonlinear models. Physics Letters A 374(26): 2618-2623.