Projects per year
Organisation profile
Organisation profile
Welcome to the Research School of Finance, Actuarial Studies and Statistics (RSFAS). We are the home of research and education in finance, actuarial studies and statistics here at The Australian National University (ANU). Our unique combination of finance, actuarial studies and statistics creates a dynamic and stimulating environment that encourages excellence in research and education for researchers and students.
We offer an extensive suite of rigorous undergraduate and postgraduate coursework and research degrees in all three fields. We are a young and dynamic school and our faculty have received PhDs from the world's very best universities.
We are a designated Centre of Actuarial Excellence by the Society of Actuaries and are accredited by prestigious industry bodies including the,
Chartered Financial Analysts Institute, Actuaries Institute, and Statistical Society of Australia.
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Collaborations and top research areas from the last five years
Profiles
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Honey Bee & Pollination Industry National Colony Loss Survey
Mikheyev, S., Allen, L. & Clark, R.
1/11/24 → 12/12/25
Project: Research
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Modern statistical methods for clustering community ecology data
Hui, F., Foster, S., Menéndez, P., Warton, D. & Woolley, S.
8/10/24 → 8/10/27
Project: Research
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Scoping literature review of business models for social impact
Muskat, B., Klenner, N., William, J. & von Reibnitz, A.
16/09/24 → 31/12/24
Project: Research
Research output
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A variational inference framework for inverse problems
Maestrini, L., Aykroyd, R. G. & Wand, M. P., Feb 2025, In: Computational Statistics and Data Analysis. 202, 108055.Research output: Contribution to journal › Article › peer-review
Open Access -
A comparison of joint species distribution models for percent cover data
Korhonen, P., Hui, F. K. C., Niku, J., Taskinen, S. & van der Veen, B., 2024, (Accepted/In press) In: Methods in Ecology and Evolution.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
A comparison of likelihood-based methods for size-biased sampling
Leaver, V. L., Clark, R. G., Krivitsky, P. N. & Birrell, C. L., May 2024, In: Journal of Statistical Planning and Inference. 230, 17 p., 106115.Research output: Contribution to journal › Article › peer-review
Open Access