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- Earo Wang
Dr Earo Wang
Associate Investigator
University of Auckland
I’m a lecturer in the Department of Statistics at the University of Auckland. I earned my Ph.D. from Monash University, supervised by Professor Di Cook and Professor Rob J Hyndman. I was awarded the John Chambers Software Award for the R package {tsibble} in 2019. My research areas invovle statistical computing and graphics, and time series analysis.
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Research Interests:
data visualisation
Statistical computing
Time Series Analysis
Qualifications:
PhD
Publications
Invited talks, refereed proceedings and other conference outputs
Wang, E.
(2021). Conversations in time: interactive visualization to explore structured temporal data.
Joint Statistical Meeting 2021.
Journal Articles
Publicly available softwares
Forbes, J., Cook D., Ebert A., Hofmann H., Hyndman R. J., Lumley T., et al.
(2021). eechidna: Exploring Election and Census Highly Informative Data Nationally for Australia (Version 1.4.1).
Hyndman, R. J., Lee A., Wang E., & Wickramasuriya S. L.
(2021). hts: Hierarchical and Grouped Time Series (Version 6.0.2).
Hyndman, R. J., Athanasopoulos G., Bergmeir C., Carceres G., Chhay L., O'Hara-Wild M., et al.
(2021). forecast: Forecasting Functions for Time Series and Linear Models (Version 8.15).
O'Hara-Wild, M., Hyndman R. J., Wang E., Cook D., Talagala T., & Chhay L.
(2021). feasts: Feature Extraction and Statistics for Time Series (Version 0.2.2).
O'Hara-Wild, M., Hyndman R. J., Wang E., Cook D., Athanasopoulos G., & Holt D.
(2021). fabletools: Core Tools for Packages in the 'fable' Framework (Version 0.3.1).
O'Hara-Wild, M., Hyndman R. J., Wang E., Godahewa R., & Bergmeir C.
(2021). tsibbledata: Diverse Datasets for ’tsibble’ (Version 0.3.0).
O'Hara-Wild, M., Hyndman R. J., Wang E., Caceres G., Hensel T-G., & Hyndman T.
(2021). fable: Forecasting Models for Tidy Time Series (Version 0.3.1).
Wang, E., Cook D., Hyndman R. J., O'Hara-Wild M., Smith T., & Davis W.
(2021). tsibble: Tidy Temporal Data Frames and Tools (Version 1.0.1).
Wang, E., & Cook D.
(2020). tsibbletalk.
O'Hara-Wild, M., Wang E., Kay M., & Hayes A.
(2020). distributional.
Hyndman, R. J., Wang E., & Cook D.
(2019). feasts: Feature Extraction And Statistics for Time Series.
Cook, D., Ebert A., Forbes J., Hofmann H., Hyndman R. J., Lumley T., et al.
(2019). eechidna: Exploring Election and Census Highly Informative Data Nationally for Australia.
Hyndman, R. J., Wang E., O'Hara-Wild M., Cook D., & Caceres G.
(2019). fable: Forecasting Models for Tidy Time Series.
Hyndman, R. J., Athanasopoulos G., Bergmeir C., Carceres G., Chhay L., O'Hara-Wild M., et al.
(2019). forecast: Forecasting Functions for Time Series and Linear Models.
O'Hara-Wild, M., Hyndman R. J., Wang E., Cook D., Talagala T., & Chhay L.
(2019). feasts: Feature Extraction And Statistics for Time Series.
Hyndman, R. J., & Wang E.
(2019). fabletools: Core Tools for Packages in the 'fable' Framework.
O'Hara-Wild, M., Hyndman R. J., Wang E., Cook D., & Athanasopoulos G.
(2019). fabletools: Core Tools for Packages in the 'fable' Framework.
Hyndman, R. J., O'Hara-Wild M., & Wang E.
(2019). tsibbledata: Diverse Datasets for 'tsibble'.
O'Hara-Wild, M., Hyndman R. J., Wang E., & Caceres G.
(2019). fable: Forecasting Models for Tidy Time Series.
Hyndman, R. J., Lee A., Wang E., & Wickramasuriya S. L.
(2018). hts: Hierarchical and Grouped Time Series.
Wang, E., Cook D., Hyndman R. J., & O'Hara-Wild M.
(2018). tsibble: Tidy Temporal Data Frames and Tools.
Wang, E., Cook D., & Hyndman R. J.
(2018). sugrrants: Supporting Graphs for Analysing Time Series.
Hyndman, R., Wang E., Kang Y., Talagala T., Yang Y., & Ben Taieb S.
(2018). tsfeatures: Time Series Feature Extraction.
Cook, D., Ebert A., Hofmann H., Hyndman R., Lumley T., Marwick B., et al.
(2017). eechidna: Exploring Election and Census Highly Informative Data Nationally for Australia.
