STAFF PROFILE
Dr Laleh Tafakori
Position:
Senior Lecturer, Statistics and Analytics
College / Portfolio:
STEM College
School / Department:
STEM|School of Science
Phone:
+61399252589
Email:
laleh.tafakori@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
Contact me about: Research Supervision
- Alazwari, A.,Akhavan-Abdollahian, M.,Tafakori, L.,Johnstone, A.,Alkhaldi, A. R., et al, . (2022). Predicting age at onset of type 1 diabetes in children using regression, artificial neural network and Random Forest: A case study in Saudi Arabia In: PLoS One, 17, 1 - 30
- Tafakori, L.,Bee, M.,Soltani, A. (2022). Some analytical results on bivariate stable distributions with an application in operational risk In: Quantitative Finance, 22, 1355 - 1369
- Matsui, M.,Mikosch, T.,Roozegar, R.,Tafakori, L. (2022). Distance covariance for random fields In: Stochastic Processes and their Applications, 150, 280 - 322
- Pollett, P.,Tafakori, L.,Taylor, P. (2022). A Model for Cell Proliferation in a Developing Organism In: Journal of Mathematical Biology, 84, 1 - 22
- Munoz, J.,Jalili, M.,Tafakori, L. (2022). Hierarchical classification for account code suggestion In: Knowledge-Based Systems, 251, 1 - 15
- Munoz, J.,Asgharian Rezaei, A.,Jalili, M.,Tafakori, L. (2021). Deep learning based bi-level approach for proactive loan prospecting In: Expert Systems with Applications, 185, 115607 - 115625
- Tafakori, L.,Pourkhanali, A.,Rastelli, R. (2021). Measuring systemic risk and contagion in the European financial network In: Empirical Economics, 63, 345 - 389
- Dehling, H.,Matsui, M.,Mikosch, T.,Samorodnitsky, G.,Tafakori, L. (2020). Distance covariance for discretized stochastic processes In: Bernoulli, 26, 2758 - 2789
- Manner, H.,Alavi Fard, F.,Pourkhanali, A.,Tafakori, L. (2019). Forecasting the joint distribution of Australian electricity prices using dynamic vine copulae In: Energy Economics, 78, 143 - 164
- Stephenson, A.,Saunders, K.,Tafakori, L. (2018). The MELBS team winning entry for the EVA2017 competition for spatiotemporal prediction of extreme rainfall using generalized extreme value quantiles In: Extremes, 21, 477 - 484
Mathematical statistics, applied probability, extreme value theory, dependence modelling via copulas, time series, financial econometrics,
stochastic processes
6 PhD Current Supervisions