| Forecasting: principles and practice RJ Hyndman, G Athanasopoulos OTexts, 2018 | 8949 | 2018 |
| Optimal combination forecasts for hierarchical time series RJ Hyndman, RA Ahmed, G Athanasopoulos, HL Shang Computational statistics & data analysis 55 (9), 2579-2589, 2011 | 627 | 2011 |
| The tourism forecasting competition G Athanasopoulos, RJ Hyndman, H Song, DC Wu International Journal of Forecasting 27 (3), 822-844, 2011 | 412 | 2011 |
| Optimal forecast reconciliation for hierarchical and grouped time series through trace minimization SL Wickramasuriya, G Athanasopoulos, RJ Hyndman Journal of the American Statistical Association 114 (526), 804-819, 2019 | 346 | 2019 |
| Forecasting with temporal hierarchies G Athanasopoulos, RJ Hyndman, N Kourentzes, F Petropoulos European Journal of Operational Research 262 (1), 60-74, 2017 | 338 | 2017 |
| Hierarchical forecasts for Australian domestic tourism G Athanasopoulos, RA Ahmed, RJ Hyndman International Journal of Forecasting 25 (1), 146-166, 2009 | 333 | 2009 |
| FFORMA: Feature-based forecast model averaging P Montero-Manso, G Athanasopoulos, RJ Hyndman, TS Talagala International Journal of Forecasting 36 (1), 86-92, 2020 | 313 | 2020 |
| Modelling and forecasting Australian domestic tourism G Athanasopoulos, RJ Hyndman Tourism Management 29 (1), 19-31, 2008 | 304 | 2008 |
| Forecasting tourist arrivals using time-varying parameter structural time series models H Song, G Li, SF Witt, G Athanasopoulos International Journal of Forecasting 27 (3), 855-869, 2011 | 200 | 2011 |
| Package ‘forecast’ RJ Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ... Online] https://cran. r-project. org/web/packages/forecast/forecast. pdf, 2020 | 178 | 2020 |
| Forecasting functions for time series and linear models R Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ... R package version 6, 2015 | 166 | 2015 |
| Forecasting: principles and practice, 2013 RJ Hyndman, G Athanasopoulos URL: https://www. otexts. org/fpp [accessed 2018-02-15][WebCite Cache ID …, 2014 | 138 | 2014 |
| Meta-learning how to forecast time series TS Talagala, RJ Hyndman, G Athanasopoulos Monash Econometrics and Business Statistics Working Papers 6 (18), 16, 2018 | 127 | 2018 |
| Crude oil price forecasting based on internet concern using an extreme learning machine J Wang, G Athanasopoulos, RJ Hyndman, S Wang International Journal of Forecasting 34 (4), 665-677, 2018 | 124 | 2018 |
| VARMA versus VAR for macroeconomic forecasting G Athanasopoulos, F Vahid Journal of Business & Economic Statistics 26 (2), 237-252, 2008 | 115 | 2008 |
| Forecasting: principles and practice. OTexts (2018) RJ Hyndman, G Athanasopoulos Online at http://otexts. org/fpp 8, 2017 | 114 | 2017 |
| Forecasting: principles and practice, OTexts: Melbourne RJ Hyndman, G Athanasopoulos Australia. OTexts. com/fpp3, 2021 | 109 | 2021 |
| Cross-temporal coherent forecasts for Australian tourism N Kourentzes, G Athanasopoulos Annals of Tourism Research 75, 393-409, 2019 | 107 | 2019 |
| Forecast reconciliation: A geometric view with new insights on bias correction A Panagiotelis, G Athanasopoulos, P Gamakumara, RJ Hyndman International Journal of Forecasting 37 (1), 343-359, 2021 | 96 | 2021 |
| Modelling Australian domestic and international inbound travel: a spatial–temporal approach M Deng, G Athanasopoulos Tourism Management 32 (5), 1075-1084, 2011 | 88 | 2011 |
Rob J HyndmanProfessor of Statistics, Monash UniversityΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα monash.edu