Selected Publications

Shareef, M. A., Kim, D. Y., Khan, A. R., and Akram, M. S. (2024). Understanding the behaviour of medical tourists: Implications for strategy development, Journal of Policy Research in Tourism, Leisure and Events (In Press).

Biswas, M. I., Talukder, M. S., and Khan, A. R. (2024). Who do you choose? Employees’ perceptions of artificial intelligence versus humans in performance feedback, China Accounting and Finance Review, 26(4): 512 – 532.

Khan, A. R., Chowdhury, A. H., and Imon, R. (2023). Deep neural network for monitoring the growth of COVID-19 epidemic using meteorological covariates, Intelligent Systems with Applications, 18: 200234

Khan, A. R. and Hassani, H. (2023). Quantile recurrent forecasting in singular spectrum analysis for stock price monitoring, Statistics and Its Interface, 16 (2): 189-197.

Khan, A. R., Hasan, K. T., Abedin, S., and Khan, S. (2022). Distributed lag inspired machine learning for predicting vaccine-induced changes in COVID-19 hospitalization and intensive care unit admission, Scientific Reports, 12: 18748

Khan, A. R., Abedin, S., and Khan, S. (2022). Interaction of temperature and relative humidity for growth of COVID-19 cases and death rates, Environmental Research Letters, 17: 034048

Khan, A. R., Abedin, S., Rahman, M. M., and Khan, S. (2022). Effects of corruption and income inequality on the reported number of COVID-19 cases and deaths: Evidence from a time series cross-sectional data analysis, PLOS Global Public Health, https://doi.org/10.1371/journal.pgph.0001157.

Khan, A. R., and Kabir, E. (2021). Resampling methods for generating continuous multivariate synthetic data for disclosure control, Journal of Data, Information and Management, 3: 225–235.

Khan, A. R., Hasan, K. T., Islam, T. and Khan, S. (2021). Forecasting respiratory tract infection episodes from prescription data for healthcare service planning, International Journal of Data Science and Analytics, 11: 169-180.   

Khan, A. R. and Hassani, H. (2019). Dependence measures for model selection in singular spectrum analysis, Journal of the Franklin Institute, 356(15): 8906-8928.

Khan, A. R. and Imon, R. (2018). Information theoretic approaches to principal component selection, American Journal of Mathematical and Management Sciences, 37(3): 293-305.

O’Keefe, C. M., Ickowicz, A, Churches, T., Westcott, M., O’Sullivan, M. and Khan, A. (2018). Assessing privacy risks in population health publications using checklist-based approach, Journal of the American Medical Informatics Association, 25(3): 315-320.

Khan, A. R. and O’Keefe, C. M. (2017). Disclosure risk reduction for generalized linear model output in a remote analysis, Data & Knowledge Engineering, 111: 90-102.

Khan, M.A.R. and Poskitt, D.S. (2017). Forecasting stochastic processes using singular spectrum analysis: Aspects of the theory and application, International Journal of Forecasting, 33(1):199-213.

O’Keefe, C.M., Ayre, T., Lucie, S., Khan, M.A.R., Song, S. and Kwon, S. (2017). Perturbed robust linear estimating equations for confidentiality protection in remote analysis, Statistics and Computing, 27(3):775-787.

Khan, A.R. and Poskitt, D.S. (2016). Signal identification in singular spectrum analysis, Australian & New Zealand Journal of Statistics, 58(1):71-98.

Khan, M.A.R. and Poskitt, D.S. (2013). Moment tests for window length selection in singular spectrum analysis of short–and long–memory processes, Journal of Time Series Analysis, 34 (2): 141-155.

Khan, M.A.R. and Poskitt, D.S. (2013). A note on window length selection in singular spectrum analysis, Australian & New Zealand Journal of Statistics, 55 (2): 87-108.

Working Papers

Khan, A., Rudd, L. and Reeson, A. (2016). Modeling occupational changes in Australia, (Supplementary Appendix for) Hajkowicz SA, Reeson A, Rudd L, Bratanova A, Hodgers L, Mason C, Boughen N (2016) Tomorrow’s Digitally Enabled Workforce: Megatrends and scenarios for jobs and employment in Australia over the coming twenty years. CSIRO, Brisbane.

Khan, M.A.R. and Poskitt, D.S. (2014). On The Theory and Practice of Singular Spectrum Analysis Forecasting, Monash Econometrics and Business Statistics Working Papers, 3/14.

Khan, M.A.R. and Poskitt, D.S. (2011). Window length selection and signal–noise separation and reconstruction in singular spectrum analysis, Monash Econometrics and Business Statistics Working Papers, 23/11.

Khan, M.A.R. and Poskitt, D.S. (2010). Description length based signal detection in singular spectrum analysis, Monash Econometrics and Business Statistics Working Papers, 13/10.

Other Publications

Abedin, S., Khan, M.A.R. and Abedin,S. (2010).  On some dominant factors affecting the age pattern of fertility in Bangladesh, Demography India 39 (1)

Abedin, S., Khan, M.A.R. , Uddin, T. and Rahman, J.A.M.S. (2009). Health hazards faced by floating commercial sex workers: a study in Rajshahi City, Bangladesh, Indian Journal of Social Work, 70 (1): 103-115

Khan, M.A.R. (2008). An approximate likelihood of right censoring from Maxwell-Boltzmann distribution, Journal of Interdisciplinary Mathematics, 11 (6): 753-769

Khan, M.A.R. (2007). Upper bound criterion for testing the stability of root mean squared forecast error, Journal of Statistics and Management Systems, 10 (1): 47-54