Earo Wang
Title
Cited by
Cited by
Year
Package ‘hts’
RJ Hyndman, A Lee, E Wang, S Wickramasuriya, ME Wang
7692021
forecast: Forecasting functions for time series and linear models. R package version 8.4
R Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
URL: https://CRAN. R-project. org/package= forecast, 2018
264*2018
Large-scale unusual time series detection
RJ Hyndman, E Wang, N Laptev
2015 IEEE international conference on data mining workshop (ICDMW), 1616-1619, 2015
1432015
Fast computation of reconciled forecasts for hierarchical and grouped time series
RJ Hyndman, AJ Lee, E Wang
Computational statistics & data analysis 97, 16-32, 2016
1132016
tsfeatures: Time series feature extraction
R Hyndman, Y Kang, P Montero-Manso, T Talagala, E Wang, Y Yang, ...
R package version 1 (0), 2019
422019
A new tidy data structure to support exploration and modeling of temporal data
E Wang, D Cook, RJ Hyndman
Journal of Computational and Graphical Statistics 29 (3), 466-478, 2020
132020
Fable: forecasting models for tidy time series
M O’Hara-Wild, R Hyndman, E Wang
R package version 0.1 2, 2020
132020
R Core Team
R Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
Ihaka, R., Reid, D., Shaub, D., Tang, Y., and Zhou, Z.: forecast …, 0
12
Calendar-based graphics for visualizing people’s daily schedules
E Wang, D Cook, RJ Hyndman
Journal of Computational and Graphical Statistics 29 (3), 490-502, 2020
62020
A Review of the State-of-the-Art on Tours for Dynamic Visualization of High-dimensional Data
S Lee, D Cook, N Da Silva, U Laa, E Wang, N Spyrison, HS Zhang
arXiv preprint arXiv:2104.08016, 2021
2021
Conversations in time: interactive visualisation to explore structured temporal data
E Wang, D Cook
The R Journal, 2021
2021
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Articles 1–11