490510. Stochastic analysis and modelling
| Title | 490510. Stochastic analysis and modelling |
|---|---|
| Parent | 4905. Statistics |
Latest research outputs
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Artificial Intelligence and Copula-Probabilistic Models for Early Flood Warning and Community Risk Management: Case Studies in Fiji Islands
Chand, Ravinesh. 2024. Artificial Intelligence and Copula-Probabilistic Models for Early Flood Warning and Community Risk Management: Case Studies in Fiji Islands. Masters Thesis Master of Research. University of Southern Queensland. https://doi.org/10.26192/z9y7zMasters Thesis
Probabilistic analysis of stress concentration factors in unstiffened gap tubular KT-joints of jacket structures under the out-of-plane bending moment loads
Ahmadi, Hamid and Benam, Mir Amin Mousavi Nezhad. 2017. "Probabilistic analysis of stress concentration factors in unstiffened gap tubular KT-joints of jacket structures under the out-of-plane bending moment loads." Advances in Structural Engineering: an international journal. 20 (4), pp. 595-615. https://doi.org/10.1177/1369433216658487Article
Application of Bi-Directional Grid Constrained Stochastic Processes to Algorithmic Trading
Taranto, Aldo and Khan, Shahjahan. 2021. "Application of Bi-Directional Grid Constrained Stochastic Processes to Algorithmic Trading." Journal of Mathematics and Statistics. 17 (1), pp. 22-29. https://doi.org/10.3844/jmssp.2021.22.29Article
Bi-Directional Grid Constrained Stochastic Processes' Link to Multi-Skew Brownian Motion
Taranto, Aldo, Addie, Ron and Khan, Shahjahan. 2022. "Bi-Directional Grid Constrained Stochastic Processes' Link to Multi-Skew Brownian Motion." Journal of Applied Probability and Statistics. 17 (1), pp. 101-133.Article
Bi-directional grid constrained stochastic processes and their applications in mathematical finance
Taranto, Aldo. 2022. Bi-directional grid constrained stochastic processes and their applications in mathematical finance. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/q7q62PhD Thesis
Hidden geometry of bidirectional grid-constrained stochastic processes
Taranto, Aldo and Khan, Shahjahan. 2021. "Hidden geometry of bidirectional grid-constrained stochastic processes." Journal of Probability and Statistics. 2021, pp. 1-13. https://doi.org/10.1155/2021/9944543Article
Iterated logarithm bounds of bi-directional grid constrained stochastic processes
Taranto, Aldo, Khan, Shahjahan and Addie, Ron. 2021. "Iterated logarithm bounds of bi-directional grid constrained stochastic processes." Global and Stochastic Analysis. 8 (3), pp. 19-39.Article
Application of effective drought index for quantification of meteorological drought events: a case study in Australia
Deo, Ravinesh C., Byun, Hi-Ryong, Adamowski, Jan F. and Begum, Khaleda. 2017. "Application of effective drought index for quantification of meteorological drought events: a case study in Australia." Theoretical and Applied Climatology. 128 (1-2), pp. 359-379. https://doi.org/10.1007/s00704-015-1706-5Article
Bounds of Bi-Directional Grid Constrained Stochastic Processes in Mathematical Finance & Algorithmic Trading
Taranto, Aldo and Khan, Shahjahan. 2020. "Bounds of Bi-Directional Grid Constrained Stochastic Processes in Mathematical Finance & Algorithmic Trading." Imomov, Azam, Purtukhia, Omar, Moiseeva, Svetlana and Tursunov, Bayramali (ed.) Modern Stochastic Models and Problems of Actuarial Mathematics Conference (MAMMOTH 2020). Karshi, Uzbekistan 25 Sep 2020 Karshi, Uzbekistan.Paper
Drawdown and Drawup of Bi-Directional Grid Constrained Stochastic Processes
Taranto, Aldo and Khan, Shahjahan. 2020. "Drawdown and Drawup of Bi-Directional Grid Constrained Stochastic Processes." Journal of Mathematics and Statistics. 16 (1), pp. 182-197. https://doi.org/10.3844/jmssp.2020.182.197Article
Bi-directional grid absorption barrier constrained stochastic processes with applications in finance and investment
Taranto, Aldo and Khan, Shahjahan. 2020. "Bi-directional grid absorption barrier constrained stochastic processes with applications in finance and investment." Risk Governance & Control: Financial Markets & Institutions. 10 (3), pp. 20-33. https://doi.org/10.22495/rgcv10i3p2Article
Gambler’s ruin problem and bi-directional grid constrained trading and investment strategies
Taranto, Aldo and Khan, Shahjahan. 2020. "Gambler’s ruin problem and bi-directional grid constrained trading and investment strategies." Investment Management and Financial Innovations. 17 (3), pp. 54-66. https://doi.org/10.21511/imfi.17(3).2020.05Article
Detection of major weather patterns reduces number of simulations in climate impact studies
Collins, Behnam and Najeeb, Ullah. 2020. "Detection of major weather patterns reduces number of simulations in climate impact studies." Journal of Agronomy and Crop Science. 206 (3), pp. 376-389. https://doi.org/10.1111/jac.12388Article
Copula statistical models for analyzing stochastic dependencies of systemic drought risk and potential adaptation strategies
Nguyen-Huy, Thong, Deo, Ravinesh C., Mushtaq, Shahbaz, Kath, Jarrod and Khan, Shahjahan. 2019. "Copula statistical models for analyzing stochastic dependencies of systemic drought risk and potential adaptation strategies." Stochastic Environmental Research and Risk Assessment. 33 (3), pp. 779-799. https://doi.org/10.1007/s00477-019-01662-6Article
Methods for analysis of functionals on Gaussian self similar processes
Bhatia, Hirdyesh. 2018. Methods for analysis of functionals on Gaussian self similar processes . PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/5c0dc5eef69d8PhD Thesis
Statistical methodology for analyzing ordinal outcomes of traumatic brain injury
Biswas, Raaj Kishore. 2017. Statistical methodology for analyzing ordinal outcomes of traumatic brain injury. Masters Thesis Master of Science (Research). University of Southern Queensland. https://doi.org/10.26192/5c09d7acf0cccMasters Thesis
Toward a stochastic precipitation generator conditioned on ENSO phase for eastern Australia
An-Vo, Duc-Anh, Stone, Roger, Ngo-Cong, Duc and Marcussen, Torben. 2017. "Toward a stochastic precipitation generator conditioned on ENSO phase for eastern Australia." Syme, G., Hatton MacDonald, D., Fulton, B. and Piantadosi, J. (ed.) 22nd International Congress on Modelling and Simulation (MODSIM2017). Hobart, Australia 03 - 08 Dec 2017 Australia. Modelling and Simulation Society of Australia and New Zealand . https://doi.org/10.36334/modsim.2017.H11.anvoPaper
Wavelet analysis–artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China
Wen, Xiaohu, Feng, Qi, Deo, Ravinesh C., Wu, Min and Si, Jianhua. 2017. "Wavelet analysis–artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China." Hydrology Research: an international journal. 48 (6), pp. 1710-1729. https://doi.org/10.2166/nh.2016.396Article
Co-ordinate transforms underpin multiscale modelling and reduction in deterministic and stochastic systems
Roberts, A. J.. 2008. "Co-ordinate transforms underpin multiscale modelling and reduction in deterministic and stochastic systems." Abbott, Derek, Aste, Tomaso, Batchelor, Murray and Dewar, Robert (ed.) Complex Systems II: SPIE Symposium on Microelectronics, MEMS, and Nanotechnology 2007. Canberra, Australia 05 - 07 Dec 2007 United States. SPIE. https://doi.org/10.1117/12.767596Poster
Quantitative definition and spatiotemporal distribution of little water season (LIWAS) in Korea
Kim, Su-Jeong, Byun, Hi-Ryong and Deo, Ravinesh C.. 2016. "Quantitative definition and spatiotemporal distribution of little water season (LIWAS) in Korea." Asia-Pacific Journal of Atmospheric Sciences. 52 (4), pp. 379-393. https://doi.org/10.1007/s13143-016-0012-1Article
From stochastic processes to numerical methods: a new scheme for solving reaction subdiffusion fractional partial differential equations
Angstmann, C. N., Donnelly, I. C., Henry, B. I., Jacobs, B. A., Langlands, T. A. M. and Nichols, J. A.. 2016. "From stochastic processes to numerical methods: a new scheme for solving reaction subdiffusion fractional partial differential equations." Journal of Computational Physics. 307, pp. 508-534. https://doi.org/10.1016/j.jcp.2015.11.053Article
Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model
Deo, Ravinesh C., Tiwari, Mukesh K., Adamowski, Jan F. and Quilty, John M.. 2017. "Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model." Stochastic Environmental Research and Risk Assessment. 31 (5), pp. 1211-1240. https://doi.org/10.1007/s00477-016-1265-zArticle
Linear model inference with non-sample prior information
Khan, Shahjahan, Pratikno, Budi and Yunus, Rossita M.. 2012. "Linear model inference with non-sample prior information." Ahmad, Munir (ed.) 12th Islamic Countries Conference on Statistical Sciences . Doha, Qatar 19 - 22 Dec 2012 Lahore, Pakistan.Paper
Testing the equality of two intercept for the parallel regression model
Pratikno, Budi and Khan, Shahjahan. 2014. "Testing the equality of two intercept for the parallel regression model." Ahmed, Munir and Khan, Shahjahan (ed.) 13th Islamic Countries Conference on Statistical Sciences . Bogor, Indonesia 18 - 21 Dec 2014 Lahore, Pakistan.Paper
Instrumental variable estimator of the slope parameter when the explanatory variable is subject to measurement error
Saqr, Anwar and Khan, Shahjahan. 2012. "Instrumental variable estimator of the slope parameter when the explanatory variable is subject to measurement error." Ahmed, Munir (ed.) 11th Islamic Countries Conference on Statistical Sciences. Lahore, Pakistan 19 - 22 Dec 2011 Lahore, Pakistan.Paper
Fractional cable equation models for anomalous electrodiffusion in nerve cells: infinite domain solutions
Langlands, Trevor, Henry, B. I. and Wearne, S. L.. 2009. "Fractional cable equation models for anomalous electrodiffusion in nerve cells: infinite domain solutions." Journal of Mathematical Biology. 59 (6), pp. 761-808. https://doi.org/10.1007/s00285-009-0251-1Article
RBFN stochastic coarse-grained simulation method: Part I - Dilute polymer solutions using bead-spring chain models
Nguyen, H. Q., Tran, C.-D. and Tran-Cong, T.. 2015. "RBFN stochastic coarse-grained simulation method: Part I - Dilute polymer solutions using bead-spring chain models." CMES Computer Modeling in Engineering and Sciences. 105 (5), pp. 399-439. https://doi.org/10.3970/cmes.2015.105.399Article
Generalized continuous time random walks, master equations, and fractional Fokker-Planck equations
Angstmann, C. N., Donnelly, I. C., Henry, B. I., Langlands, T. A. M. and Straka, P.. 2015. "Generalized continuous time random walks, master equations, and fractional Fokker-Planck equations." SIAM Journal on Applied Mathematics. 75 (4), pp. 1445-1468. https://doi.org/10.1137/15M1011299Article
Monthly prediction of air temperature in Australia and New Zealand with machine learning algorithms
Salcedo-sanz, S., Deo, R. C., Carro-Calvo, L. and Saavedra-Moreno, B.. 2016. "Monthly prediction of air temperature in Australia and New Zealand with machine learning algorithms." Theoretical and Applied Climatology. 125 (1-2), pp. 13-25. https://doi.org/10.1007/s00704-015-1480-4Article
Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models
Deo, Ravinesh C., Samui, Pijush and Kim, Dookie. 2016. "Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models." Stochastic Environmental Research and Risk Assessment. 30 (6), pp. 1769-1784. https://doi.org/10.1007/s00477-015-1153-yArticle
Terrorist choice: a stochastic dominance and prospect theory analysis
Phillips, Peter J. and Pohl, Gabriela. 2017. "Terrorist choice: a stochastic dominance and prospect theory analysis." Defence and Peace Economics. 28 (2), pp. 150-164. https://doi.org/10.1080/10242694.2015.1033888Article
Mobile learning anytime, anywhere: what are our students doing?
Murphy, Angela, Farley, Helen, Lane, Michael, Hafeez-Baig, Abdul and Carter, Brad. 2014. "Mobile learning anytime, anywhere: what are our students doing?" Australasian Journal of Information Systems. 18 (3), pp. 331-345.Article
Score test in robust M-procedure
Khan, Shahjahan and Yunus, Rossita M.. 2014. "Score test in robust M-procedure." Journal of Applied Probability and Statistics. 9 (2), pp. 55-75.Article
A numerical solution based on the Fokker-Planck equation for dilute polymer solutions using high order RBF methods
Nguyen, H. Q., Tran, C.-D., Pham-Sy, N. and Tran-Cong, T.. 2014. "A numerical solution based on the Fokker-Planck equation for dilute polymer solutions using high order RBF methods." Applied Mechanics and Materials. 553, pp. 187-192. https://doi.org/10.4028/www.scientific.net/AMM.553.187Article
Dissipative particle dynamics modeling of low Reynolds number incompressible flows
Mai-Duy, N., Pan, D., Phan-Thien, N. and Khoo, B. C.. 2013. "Dissipative particle dynamics modeling of low Reynolds number incompressible flows." Journal of Rheology. 57 (2), pp. 585-604. https://doi.org/10.1122/1.4789444Article
Continuous-time random walks on networks with vertex- and time-dependent forcing
Angstmann, C. N., Donnelly, I. C., Henry, B. I. and Langlands, T. A. M.. 2013. "Continuous-time random walks on networks with vertex- and time-dependent forcing." Physical Review E. 88 (2). https://doi.org/10.1103/PhysRevE.88.022811Article
Statistics in planning and development
Khan, Shahjahan. 2013. "Statistics in planning and development." Pakistan Journal of Statistics. 29 (4), pp. 513-524.Article
Numerical solution of Fokker-Planck equation using the integral radial basis function networks
Tran, C.-D., Mai-Duy, N. and Tran-Cong, T.. 2012. "Numerical solution of Fokker-Planck equation using the integral radial basis function networks." Pimenta, P. M. and Campello, E. M. B. (ed.) 10th World Congress on Computational Mechanics (WCCM 2012). Sao Paulo, Brazil 08 - 13 Jul 2012 Sao Paulo, Brazil. https://doi.org/10.5151/10.5151/meceng-wccm2012-19433Paper
A continuum-microscopic method based on IRBFs and control volume scheme for viscoelastic fluid flows
Tran, C.-D., Mai-Duy, N., Le-Cao, K. and Tran-Cong, T.. 2012. "A continuum-microscopic method based on IRBFs and control volume scheme for viscoelastic fluid flows." CMES Computer Modeling in Engineering and Sciences. 85 (6), pp. 499-519. https://doi.org/10.3970/cmes.2012.085.499Article
Quantile analysis of the mathematics achievement - attitude relationship by gender
Adeyinka, Adewuyi Ayodele and Kaino, Luckson Muganyizi. 2012. "Quantile analysis of the mathematics achievement - attitude relationship by gender." The European Journal of Social Sciences. 34 (3), pp. 452-460.Article