| Package ‘hts’ RJ Hyndman, A Lee, E Wang, S Wickramasuriya, ME Wang | 946 | 2021 |
| Large-scale unusual time series detection RJ Hyndman, E Wang, N Laptev 2015 IEEE international conference on data mining workshop (ICDMW), 1616-1619, 2015 | 168 | 2015 |
| 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 | 154* | 2018 |
| 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 | 125 | 2016 |
| tsfeatures: Time series feature extraction R Hyndman, Y Kang, P Montero-Manso, T Talagala, E Wang, Y Yang, ... R package version 1 (0), 2019 | 59* | 2019 |
| Fable: Forecasting models for tidy time series M O’Hara-Wild, R Hyndman, E Wang R package version 0.2 1, 2020 | 21 | 2020 |
| 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 | 20 | 2020 |
| 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 | 8 | 2020 |
| The state‐of‐the‐art on tours for dynamic visualization of high‐dimensional data S Lee, D Cook, N da Silva, U Laa, N Spyrison, E Wang, HS Zhang Wiley Interdisciplinary Reviews: Computational Statistics, e1573, 2021 | 2* | 2021 |
| Package ‘feasts’ M O'Hara-Wild, R Hyndman, E Wang, D Cook, T Talagala, L Chhay, ... | 1 | 2019 |
| Conversations in Time: Interactive Visualization to Explore Structured Temporal Data. E Wang, D Cook R Journal 13 (1), 2021 | | 2021 |
Rob J HyndmanProfessor of Statistics, Monash UniversityVerified email at monash.edu
