| 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 | 115 | 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 | 114 | 2015 |
| 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 | 95 | 2016 |
| forecast: Forecasting functions for time series and linear models, 2018, r package version 8.4 RJ Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ... URL http://github. com/robjhyndman/forecast, 2017 | 32 | 2017 |
| tsfeatures: Time series feature extraction R Hyndman, Y Kang, P Montero-Manso, T Talagala, E Wang, Y Yang, ... R package version 1 (0), 2019 | 17 | 2019 |
| 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 | 9 | 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 | 4 | 2020 |
| Package ‘hts’ RJ Hyndman, A Lee, E Wang, S Wickramasuriya, ME Wang R package version 6 (0), 2020 | 1 | 2020 |
Rob J HyndmanProfessor of Statistics, Monash UniversityVerified email at monash.edu
