Earo Wang
Title
Cited by
Cited by
Year
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
1152018
Large-scale unusual time series detection
RJ Hyndman, E Wang, N Laptev
2015 IEEE international conference on data mining workshop (ICDMW), 1616-1619, 2015
1142015
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
952016
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
322017
tsfeatures: Time series feature extraction
R Hyndman, Y Kang, P Montero-Manso, T Talagala, E Wang, Y Yang, ...
R package version 1 (0), 2019
172019
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
92020
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
42020
Package ‘hts’
RJ Hyndman, A Lee, E Wang, S Wickramasuriya, ME Wang
R package version 6 (0), 2020
12020
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