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Dr Atefeh Zamani

Dr Atefeh Zamani

Lecturer
  • Master of Data Science, University of Melbourne, Australia (2023)
  • Ph.D. in Mathematical Statistics (Probability Theory), Shiraz University, Iran (2011)
  • M.Sc. in Mathematical Statistics, Shiraz University, Iran (2005)
  • B.Sc. in Mathematical Statistics, Shiraz University, Iran (2003)
Science
School of Mathematics & Statistics

I am a statistician and lecturer in the School of Mathematics and Statistics at UNSW. My academic journey includes a Ph.D. in Statistics from Shiraz University in 2011 and a Master of Data Science from the University of Melbourne in 2023. My research interests are centered around time series analysis, functional data analysis, and data science. Since 2022, I have been working as a lecturer at UNSW.
E-mail
atefeh.zamani@unsw.edu.au
Location
Room 2071, School of Mathematics and Statistics Anita B. Lawrence Centre, UNSW Sydney Sydney NSW 2052
  • Journal articles | 2024
    Mortazavi SAR; Tahmasebi S; Lech JC; Welsh JS; Taleie A; Rezaianzadeh A; Zamani A; Mega K; Nematollahi S; Zamani A; Mortazavi SMJ; Sihver L, 2024, 'Digital Screen Time and the Risk of Female Breast Cancer: A Retrospective Matched Case-Control Study', Journal of Biomedical Physics and Engineering, 14, pp. 169 - 182, http://dx.doi.org/10.31661/jbpe.v0i0.2310-1678
    Journal articles | 2023
    Sharafi M; Sajjadnia Z; Zamani A, 2023, 'A first-order integer-valued autoregressive process with zero-modified Poisson-Lindley distributed innovations', Communications in Statistics: Simulation and Computation, 52, pp. 685 - 702, http://dx.doi.org/10.1080/03610918.2020.1864644
    Journal articles | 2022
    Forughi M; Shishebor Z; Zamani A, 2022, 'Portmanteau tests for generalized integer-valued autoregressive time series models: Portmanteau tests for GINAR models', Statistical Papers, 63, pp. 1163 - 1185, http://dx.doi.org/10.1007/s00362-021-01274-9
    Journal articles | 2022
    Mortazavi SAR; Tahmasebi S; Parsaei H; Taleie A; Faraz M; Rezaianza-Deh A; Zamani A; Zamani A; Mortazavi SMJ, 2022, 'Machine Learning Models for Predicting Breast Cancer Risk in Women Exposed to Blue Light from Digital Screens', Journal of Biomedical Physics and Engineering, 12, pp. 637 - 644, http://dx.doi.org/10.31661/jbpe.v0i0.2105-1341
    Journal articles | 2022
    Zamani A; Haghbin H; Hashemi M; Hyndman RJ, 2022, 'Seasonal functional autoregressive models', Journal of Time Series Analysis, 43, pp. 197 - 218, http://dx.doi.org/10.1111/jtsa.12608
    Journal articles | 2021
    Hashemi M; Mateu J; Zamani A, 2021, 'Periodically Correlated Space-Time Autoregressive Hilbertian Processes', Journal of Statistical Theory and Applications, 20, pp. 164 - 170, http://dx.doi.org/10.2991/jsta.d.210525.001
    Journal articles | 2020
    Hashemi M; Zamani A, 2020, 'Convergence Rate of Empirical Autocovariance Operators in HValued Periodically Correlated Processes', Journal of the Iranian Statistical Society, 19, pp. 1 - 13, http://dx.doi.org/10.52547/jirss.19.2.1
    Journal articles | 2020
    Nasirzadeh R; Zamani A, 2020, 'Poisson-Lindley INAR(1) Processes: Some Estimation and Forecasting Methods', Journal of the Iranian Statistical Society, 19, pp. 145 - 173, http://dx.doi.org/10.52547/jirss.19.2.145
    Journal articles | 2020
    Zamani A; Sajjadnia Z; Hashemi M, 2020, 'The wold decomposition of hilbertian periodically correlated processes', Theory of Probability and Mathematical Statistics, 101, pp. 119 - 127, http://dx.doi.org/10.1090/tpms/1116
    Journal articles | 2019
    Hashemi M; Zamani A; Haghbin H, 2019, 'Rates of convergence of autocorrelation estimates for periodically correlated autoregressive Hilbertian processes', Statistics, 53, pp. 283 - 300, http://dx.doi.org/10.1080/02331888.2018.1547907
    Journal articles | 2019
    Zamani A; Hashemi M; Haghbin H, 2019, 'Improved functional portmanteau tests', Journal of Statistical Computation and Simulation, 89, pp. 1423 - 1436, http://dx.doi.org/10.1080/00949655.2019.1584199
    Journal articles | 2018
    Rezaei A; Sharafi M; Behboodian J; Zamani A, 2018, 'Inferences on stress–strength parameter based on GLD5 distribution', Communications in Statistics: Simulation and Computation, 47, pp. 1251 - 1263, http://dx.doi.org/10.1080/03610918.2017.1309666
    Journal articles | 2017
    Haghbin H; Zamani A; Shishebor Z, 2017, 'Inference on the asymptotic behavior of covariance operator of first-order periodically correlated autoregressive Hilbertian processes', Communications in Statistics - Theory and Methods, 46, pp. 761 - 769, http://dx.doi.org/10.1080/03610926.2015.1005099
    Journal articles | 2017
    Hashemi M; Zamani A, 2017, 'Asymptotic properties of periodograms of weakly dependent functional processes', Far East Journal of Mathematical Sciences, 102, pp. 111 - 119, http://dx.doi.org/10.17654/MS102010111
    Journal articles | 2011
    Shishebor Z; Soltani AR; Zamani A, 2011, 'Asymptotic distribution for periodograms of infinite dimensional discrete time periodically correlated processes', Journal of Multivariate Analysis, 102, pp. 1118 - 1125, http://dx.doi.org/10.1016/j.jmva.2011.03.005
    Journal articles | 2010
    Soltani AR; Shishebor Z; Zamani A, 2010, 'Inference on periodograms of infinite dimensional discrete time periodically correlated processes', Journal of Multivariate Analysis, 101, pp. 368 - 373, http://dx.doi.org/10.1016/j.jmva.2009.01.004
  • Conference Papers | 2018
    Mortazavi SMJ; Balas VE; Zamani A; Zamani A; Mortazavi SAR; Haghani M; Jaberi O; Soleimani A, 2018, 'The importance of quantification of data in studies on the health effects of exposure to electromagnetic fields generated by mobile base stations', in Advances in Intelligent Systems and Computing, pp. 316 - 326, http://dx.doi.org/10.1007/978-3-319-62521-8_26

Time Series Analysis, Functional data Analysis, Statistical Inference, Data Science

My Research Supervision

  • Masters 

    • Yuxin Ma: A study on Convolutional Generative Adversarial Network with Different Classifiers on Time Series (T1 & T2, 2024)
    • Ming Fung Choi: Enhanced Bayesian Spectral Analysis of Multivariate Stationary Time Series: A Comparative Study of Prior Specifications (T1 & T2, 2024)
    • Yanming Huang: Predictive accuracy of some time series models (T3, 2023 & T1, 2024) 
    • Xilin Li: Lookout- a new approach to detect outliers (T2 & T3, 2023)
    • Angus Tyson: Techniques for Time Series Extrinsic Regression (T1 & T2, 2023)

My Teaching

 
  • Mathematics and Statistics Courses
    • MATH5845 Time Series (T2 2023; T2 2024)
    • MATH5855 Multivariate Analysis (T3 2022)

 

  • Science Accelerated Courses
    • ZZSC5806 Regression Analysis for Data Scientists (H2 2023; H1 2024)
    • ZZSC9001 Foundations of Data Science (H1 2024)