Projects per year
Personal profile
Research interests
- Markov chain Monte Carlo methods, Cross-Entropy method
- Statistical modelling and applications in biology, bioinformatics, finance and insurance
- Theory and applications of random processes, optimal stopping rules
- Sequential analysis, asymptotic theory, change-point problem
Statistical Software
Priyadarshana, W. J. R. M., Sofronov, G. (2015). Multiple Break-Points Detection in array CGH Data via the Cross-Entropy Method. IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 12, N 2, 487-498, DOI: 10.1109/TCBB.2014.2361639, ISSN 1545-5963.
Teaching
- 2020, 1 Semester, STAT8310 Statistical Theory
- 2020, 1 Semester, STAT2372 Probability
- 2019, 1 Semester, STAT806 Statistical Inference
- 2014, 2015, 2 Semester, STAT821 Multivariate Statistical Analysis
- 2011 - 2019, 1 Semester, STAT272 Probability
- 2014, 1 Semester, STAT830 Prelude to Bioinformatics
- 2011 - 2013, 1 Semester, ACST601 Stochastic Methods in Finance and Insurance
- 2010 - 2012, 2018, 2 Semester, STAT328/STAT826 Market Research and Forecasting
- 2010, 2011, 2015, 2016, 2018, 2019, 2 Semester, STAT273/STAT683 Introduction to Probability
- 2016 - 2018, 1 Semester, STAT273/STAT683 Introduction to Probability
- 2010, 1 Semester, STAT375 Linear Models
- 2010, 1 Semester, STAT170 Introductory Statistics
Research student supervision
- Ms Lijing Ma (PhD student since 2018; MRes,2017), principal supervisor
- Ms Nishanthi Raveendran (PhD student since 2017; MRes, 2016-2017), principal supervisor
- Ms Sophia Shen (MRes student since 2019), principal supervisor
- Ms Thilini Dulanjali Kularatne (MRes, 2016-2017), principal supervisor
- Dr Madawa W. J. R. Priyadarshana (received his PhD degree in 2015), principal supervisor
- Dr Sergey Ivanov (received his PhD degree in 2014), adjunct supervisor
- Dr Tatiana Polushina (received her PhD degree in 2010), principal supervsior
- More than 20 Master projects
PhD scholarships
If you are interested in doing a PhD or MRes at Macquarie under my supervision, and are eligible to apply for any of the scholarships listed here, then please contact me in advance of the closing dates.
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Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects
Multiple change-point detection methods and their applications for big data
1/07/17 → …
Project: Research
Macquarie University Species Spectrum Research Center
Herberstein, M., Gillings, M., Jacob, D., Saintilan, N., Barron, A., Westoby, M., Sofronov, G. & Tetu, S.
1/01/17 → …
Project: Research
Biomolecular Discovery and Design Research Centre
Packer, N., Paulsen, I., Nevalainen, H., Haynes, P., Molloy, M., Atwell, B., Barron, A., Beggs, P., Bergquist, P. L., Brown, L., Cornish, J., Chung, R., De Deene, Y., Garcia-Bennett, A., Gillings, M., Goodchild, A., Guillemin, G., Hallinan, J., Hose, G., Jaschke, P., Mabbutt, B., Raftos, D., Ranganathan, S., Sofronov, G., Sunna, A., Tetu, S., Andersen, M., Willows, R., Ahn, C., Breen, E., Campbell, M., Care, A., Cordina, N., Curach, N., Everest Dass, A., Elbourne, L., Goold, H., Hassan, K., Kautto, L., Krisp, C., Kroukamp, H., Lee, A., Lin, C., Mackie, A., McKay, M., McQuade, L., Mirzaei, M., Mohamedali, A., Ostrowski, M., Parker, L., Pascovici, D., Penesyan, A., Shah, B., Sun, A., Thompson, E. & Williams, T.
1/01/17 → …
Project: Research
BioMolecular Frontiers Research Centre (BMFRC) Mature Centre 2015
Packer, N., Paulsen, I., Nevalainen, H., Haynes, P., Molloy, M., Atwell, B., Barron, A., Beggs, P., Bergquist, P. L., Brown, L., Cornish, J., Chung, R., De Deene, Y., Gillings, M., Goodchild, A., Guillemin, G., Hallinan, J., Hose, G., Jaschke, P., Lanfear, R., Mabbutt, B., Raftos, D., Ranganathan, S., Sofronov, G., Stoodley, M., Sunna, A., Tetu, S., Willows, R. & Wright, I.
1/01/16 → 31/12/16
Project: Research
Research Outputs
Network structure change point detection by posterior predictive discrepancy
Bian, L., Cui, T., Sofronov, G. & Keith, J., 2020, Monte Carlo and Quasi-Monte Carlo Methods: MCQMC 2018, Rennes, France, July 1–6. Tuffin, B. & L'Ecuyer, P. (eds.). Cham: Springer, Springer Nature, p. 107-123 17 p. (Springer Proceedings in Mathematics and Statistics; vol. 324).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution
Identifying clusters in spatial data via sequential importance sampling
Raveendran, N. & Sofronov, G., 1 Jan 2019, Recent advances in computational optimization: results of the Workshop on Computational Optimization WCO 2017. Fidanova, S. (ed.). Switzerland: Springer-VDI-Verlag GmbH & Co. KG, p. 175-189 15 p. (Studies in Computational Intelligence; vol. 795).Research output: Chapter in Book/Report/Conference proceeding › Chapter
On asymptotics of optimal stopping times
Lustri, C. & Sofronov, G., 5 Apr 2019, (Submitted) In : arXiv e-prints. 14 p.Research output: Contribution to journal › Article
Which pathways lead to success? Transformation models and change-point detection for the early identification of students at risk
Manuguerra, M. & Sofronov, G., 2019, Proceedings of the 34th International Workshop on Statistical Modelling: Volume II. Meira-Machado, L. & Soutinho, G. (eds.). Guimaraes, Portugal: IWSM, Vol. 2. p. 212-215 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution
Анализ выживаемости слоевищ Evernia prunastri (L.) Ach.
Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution