Projects per year
Personal profile
Biography
Ann Maharaj is an Associate Professor in the Department of Econometrics and Business Statistics at the Caulfield Campus of Monash University. She is an elected member of the International Statistical Institute (ISI), a member of the International Association of Statistical Computing (IASC) and of the Statistical Society of Australia (SSA). She is also an accredited statistician with the SSA.
Ann's main research interests are in time series classification, wavelets analysis, fuzzy classification and interval time series analysis As well as co-authoring a book on time series clustering and classification, she has published many papers on these topics. She has also published papers in climatology, environmental science, labour markets, human mobility and finance.
She has been involved in statistical consulting and has presented several workshops on various aspects of statistical analysis.
Community service
Council Member of the International Association of Statistical Computing, (IASC) 2013-2017.
Executive Member of the International Association of Statistical Computing (IASC) 2015-2017.
Council Member of the Victorian Branch of the Statistics Society of Australia (SSA), 2004-2007.
Secretary of the Victorian Branch of the Statistics Society of Australia (SSA), 2005-2006.
Committee Member of the Monash Branch of the National Tertiary Education Union (NTEU), 2000 – 2014.
Academic Vice-President of the Monash Branch of the National Tertiary Education Union (NTEU), 2006-2008.
Secretary of the Monash Branch of the National Tertiary Education Union (NTEU), 2008-2012.
Supervision interests
Time Series Classification, Wavelet Analysis, Applied Finance
Monash teaching commitment
ETF2121/EFT5912 Data Analysis is Business S1 and S2
Research interests
Time Series Classification, Spectral Analysis, Wavelet Analysis, Fuzzy Classifiation, Interval Time Series Analysis.
Research area keywords
- Time Series Classification
- Spectral Analysis
- Wavelet Analysis
- Fuzzy Classification
- Interval Time Series Analysis
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects
- 1 Finished
Research Output
Drivers of carbon dioxide emissions: an empirical investigation using hierarchical and non-hierarchical clustering methods
Inekwe, J., Maharaj, E. A. & Bhattacharya, M., 2020, In : Environmental and Ecological Statistics. 27, 1, p. 1-40 40 p.Research output: Contribution to journal › Article › Research › peer-review
1
Citation
(Scopus)
Clustering of interval time series
Maharaj, E. A., Teles, P. & Brito, P., Sep 2019, In : Statistics and Computing. 29, 5, p. 1011-1034 24 p.Research output: Contribution to journal › Article › Research › peer-review
1
Citation
(Scopus)
Time Series Clustering and Classification
Maharaj, E. A., D'Urso, P. & Caido, J., 2019, 1st ed. Boca Raton FL USA: CRC Press. 228 p. (Computer Science and Data Analysis)Research output: Book/Report › Book › Other › peer-review
Fuzzy clustering of time series using extremes
D'Urso, P., Maharaj, E. A. & Alonso, A. M., Jul 2017, In : Fuzzy Sets and Systems. 318, p. 56-79 24 p.Research output: Contribution to journal › Article › Research › peer-review
13
Citations
(Scopus)
Clustering seasonal time series using extreme value analysis: An application to Spanish temperature time series
Maharaj, E. A., Alonso, A. M. & D'Urso, P., 2016, In : Communications in Statistics: Case Studies, Data Analysis and Applications. 1, 4, p. 175-191 17 p.Research output: Contribution to journal › Article › Research › peer-review
Prizes
Monash Business School Award for Teaching Excellence
Maharaj, Ann (Recipient), 2017
Prize: Prize (including medals and awards)