Projects per year
Personal profile
Biography
Anastasios Panagiotelis is an Associate Professor at the Department of Econometrics and Business Statistics at Monash University. Anastasios recieved his PhD from the University of Sydney, and prior to joining Monash in 2011, he was an Alexander von Humboldt Postdoctoral Researcher at the Chair of Mathematical Statistics at the Technical University of Munich. His research interests include Hierarchical forecasting, Bayesian Model selection and copula models.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
-
SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 16 Peace, Justice and Strong Institutions
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Breaking Down Silos: Optimal Aligned Decisions via Forecast Reconciliation
Panagiotelis, A. (Primary Chief Investigator (PCI)), Athanasopoulos, G. (Chief Investigator (CI)), Ho-Nguyen, H. (Chief Investigator (CI)), Hyndman, R. (Chief Investigator (CI)) & Radchenko, P. (Chief Investigator (CI))
ARC - Australian Research Council, University of Sydney
28/08/25 → 27/08/28
Project: Research
-
Macroeconomic forecasting in a 'Big Data' world
Panagiotelis, A. (Primary Chief Investigator (PCI)), Athanasopoulos, G. (Chief Investigator (CI)), Hyndman, R. (Chief Investigator (CI)) & Vahid-Araghi, F. (Chief Investigator (CI))
ARC - Australian Research Council
1/08/14 → 31/07/19
Project: Research
-
Boosting domain-specific models with shrinkage: an application in mortality forecasting
Li, L., Li, H. & Panagiotelis, A., Jan 2025, In: International Journal of Forecasting. 41, 1, p. 191-207 17 p.Research output: Contribution to journal › Article › Research › peer-review
5 Link opens in a new tab Citations (Scopus) -
Constructing hierarchical time series through clustering: is there an optimal way for forecasting?
Zhang, B., Panagiotelis, A. & Li, H., Jul 2025, In: International Journal of Forecasting. 41, 3, p. 1022-1036 15 p.Research output: Contribution to journal › Article › Research › peer-review
10 Link opens in a new tab Citations (Scopus) -
Data-sparse price indexes by spatio-temporal regularization and PCA: an application to the Australian housing market
Sijp, W. P., Panagiotelis, A. & Francke, M. K., Mar 2025, In: Real Estate Economics. 53, 2, p. 266-296 31 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile2 Link opens in a new tab Citations (Scopus) -
Distortion corrected kernel density estimator on Riemannian manifolds
Cheng, F., Hyndman, R. J. & Panagiotelis, A., 2025, In: Journal of Computational and Graphical Statistics. 34, 3, p. 906-922 17 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
Improving the forecasting approach for crude oil sourcing at an oil refining firm: a decision theory perspective
Gezdur, A., Bhattacharjya, J. & Panagiotelis, A., 2025, In: Production Planning & Control. 36, 15, p. 1973-1990 18 p.Research output: Contribution to journal › Article › Research › peer-review