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Journal Articles

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2023
[j31]
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Anastasios Panagiotelis, Puwasala Gamakumara, George Athanasopoulos, Rob J. Hyndman:
Probabilistic forecast reconciliation: Properties, evaluation and score optimisation. Eur. J. Oper. Res. 306(2): 693-706 (2023)
2022
[j30]
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  - journals/jcgs/GuptaHCU22
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Sayani Gupta, Rob J. Hyndman, Dianne Cook, Antony Unwin:
Visualizing Probability Distributions Across Bivariate Cyclic Temporal Granularities. J. Comput. Graph. Stat. 31(1): 14-25 (2022)
[j29]
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Mahsa Ashouri, Rob J. Hyndman, Galit Shmueli:
Fast Forecast Reconciliation Using Linear Models. J. Comput. Graph. Stat. 31(1): 263-282 (2022)
[j28]
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Sevvandi Kandanaarachchi, Rob J. Hyndman:
Leave-One-Out Kernel Density Estimates for Outlier Detection. J. Comput. Graph. Stat. 31(1): 586-599 (2022)
[j27]
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Mahdi Abolghasemi, Rob J. Hyndman, Evangelos Spiliotis, Christoph Bergmeir:
Model selection in reconciling hierarchical time series. Mach. Learn. 111(2): 739-789 (2022)
2021
[j26]
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Evangelos Spiliotis, Mahdi Abolghasemi, Rob J. Hyndman, Fotios Petropoulos, Vassilios Assimakopoulos:
Hierarchical forecast reconciliation with machine learning. Appl. Soft Comput. 112: 107756 (2021)
[j25]
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Florian Eckert, Rob J. Hyndman, Anastasios Panagiotelis:
Forecasting Swiss exports using Bayesian forecast reconciliation. Eur. J. Oper. Res. 291(2): 693-710 (2021)
[j24]
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Sevvandi Kandanaarachchi, Rob J. Hyndman:
Dimension Reduction for Outlier Detection Using DOBIN. J. Comput. Graph. Stat. 30(1): 204-219 (2021)
[j23]
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Priyanga Dilini Talagala, Rob J. Hyndman, Kate Smith-Miles:
Anomaly Detection in High-Dimensional Data. J. Comput. Graph. Stat. 30(2): 360-374 (2021)
2020
[j22]
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Sevvandi Kandanaarachchi, Mario A. Muñoz, Rob J. Hyndman, Kate Smith-Miles:
On normalization and algorithm selection for unsupervised outlier detection. Data Min. Knowl. Discov. 34(2): 309-354 (2020)
[j21]
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Shanika L. Wickramasuriya, Berwin A. Turlach, Rob J. Hyndman:
Optimal non-negative forecast reconciliation. Stat. Comput. 30(5): 1167-1182 (2020)
[j20]
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Yanfei Kang, Rob J. Hyndman, Feng Li:
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics. Stat. Anal. Data Min. 13(4): 354-376 (2020)
2018
[j19]
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Christoph Bergmeir, Rob J. Hyndman, Bonsoo Koo:
A note on the validity of cross-validation for evaluating autoregressive time series prediction. Comput. Stat. Data Anal. 120: 70-83 (2018)
[j18]
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Fotios Petropoulos, Rob J. Hyndman, Christoph Bergmeir:
Exploring the sources of uncertainty: Why does bagging for time series forecasting work? Eur. J. Oper. Res. 268(2): 545-554 (2018)
2017
[j17]
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George Athanasopoulos, Rob J. Hyndman, Nikolaos Kourentzes, Fotios Petropoulos:
Forecasting with temporal hierarchies. Eur. J. Oper. Res. 262(1): 60-74 (2017)
[j16]
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Ingrida Steponavice, Rob J. Hyndman, Kate Smith-Miles, Laura Villanova:
Dynamic algorithm selection for pareto optimal set approximation. J. Glob. Optim. 67(1-2): 263-282 (2017)
[j15]
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Paul Goodwin, Fotios Petropoulos, Rob J. Hyndman:
A note on upper bounds for forecast-value-added relative to naïve forecasts. J. Oper. Res. Soc. 68(9): 1082-1084 (2017)
2016
[j14]
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Rob J. Hyndman, Alan J. Lee, Earo Wang:
Fast computation of reconciled forecasts for hierarchical and grouped time series. Comput. Stat. Data Anal. 97: 16-32 (2016)
[j13]
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Souhaib Ben Taieb, Raphaël Huser, Rob J. Hyndman, Marc G. Genton:
Forecasting Uncertainty in Electricity Smart Meter Data by Boosting Additive Quantile Regression. IEEE Trans. Smart Grid 7(5): 2448-2455 (2016)
2011
[j12]
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Jae H. Kim, Iain Fraser, Rob J. Hyndman:
Improved interval estimation of long run response from a dynamic linear model: A highest density region approach. Comput. Stat. Data Anal. 55(8): 2477-2489 (2011)
[j11]
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Rob J. Hyndman, Roman A. Ahmed, George Athanasopoulos, Han Lin Shang:
Optimal combination forecasts for hierarchical time series. Comput. Stat. Data Anal. 55(9): 2579-2589 (2011)
[j10]
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Han Lin Shang, Rob J. Hyndman:
Nonparametric time series forecasting with dynamic updating. Math. Comput. Simul. 81(7): 1310-1324 (2011)
2009
[j9]
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Xiaozhe Wang, Kate Amanda Smith-Miles, Rob J. Hyndman:
Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series. Neurocomputing 72(10-12): 2581-2594 (2009)
2008
[j8]
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  - journals/eor/GouldKOSHV08
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Phillip G. Gould, Anne B. Koehler, J. Keith Ord, Ralph D. Snyder, Rob J. Hyndman, Farshid Vahid-Araghi:
Forecasting time series with multiple seasonal patterns. Eur. J. Oper. Res. 191(1): 207-222 (2008)
2007
[j7]
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Jae H. Kim, Param Silvapulle, Rob J. Hyndman:
Half-life estimation based on the bias-corrected bootstrap: A highest density region approach. Comput. Stat. Data Anal. 51(7): 3418-3432 (2007)
[j6]
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Rob J. Hyndman, Md. Shahid Ullah:
Robust forecasting of mortality and fertility rates: A functional data approach. Comput. Stat. Data Anal. 51(10): 4942-4956 (2007)
2006
[j5]
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Xibin Zhang, Maxwell L. King, Rob J. Hyndman:
A Bayesian approach to bandwidth selection for multivariate kernel density estimation. Comput. Stat. Data Anal. 50(11): 3009-3031 (2006)
[j4]
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Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman:
Characteristic-Based Clustering for Time Series Data. Data Min. Knowl. Discov. 13(3): 335-364 (2006)
[j3]
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A. V. Kostenko, Rob J. Hyndman:
A note on the categorization of demand patterns. J. Oper. Res. Soc. 57(10): 1256-1257 (2006)
[j2]
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  - journals/masa/MeyerH06
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Denny Meyer, Rob J. Hyndman:
The accuracy of television network rating forecasts: The effects of data aggregation and alternative models. Model. Assist. Stat. Appl. 1(3): 147-155 (2006)
2004
[j1]
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Ralph D. Snyder, Anne B. Koehler, Rob J. Hyndman, J. Keith Ord:
Exponential smoothing models: Means and variances for lead-time demand. Eur. J. Oper. Res. 158(2): 444-455 (2004)

Conference and Workshop Papers

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2021
[c7]
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Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso:
Monash Time Series Forecasting Archive. NeurIPS Datasets and Benchmarks 2021
2017
[c6]
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Souhaib Ben Taieb, James W. Taylor, Rob J. Hyndman:
Coherent Probabilistic Forecasts for Hierarchical Time Series. ICML 2017: 3348-3357
2015
[c5]
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Rob J. Hyndman, Earo Wang, Nikolay Laptev:
Large-Scale Unusual Time Series Detection. ICDM Workshops 2015: 1616-1619
2014
[c4]
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Souhaib Ben Taieb, Rob J. Hyndman:
Boosting multi-step autoregressive forecasts. ICML 2014: 109-117
[c3]
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Ingrida Steponavice, Rob J. Hyndman, Kate Smith-Miles, Laura Villanova:
Efficient Identification of the Pareto Optimal Set. LION 2014: 341-352
2010
[c2]
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Laura Villanova, Paolo Falcaro, Davide Carta, Irene Poli, Rob J. Hyndman, Kate Smith-Miles:
Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling. IEEE Congress on Evolutionary Computation 2010: 1-8
2005
[c1]
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Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman:
Dimension Reduction for Clustering Time Series Using Global Characteristics. International Conference on Computational Science (3) 2005: 792-795

Parts in Books or Collections

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2016
[p1]
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Ingrida Steponavice, Mojdeh Shirazi-Manesh, Rob J. Hyndman, Kate Smith-Miles, Laura Villanova:
On Sampling Methods for Costly Multi-Objective Black-Box Optimization. Advances in Stochastic and Deterministic Global Optimization 2016: 273-296

Reference Works

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2011
[r3]
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Rob J. Hyndman:
Business Forecasting Methods. International Encyclopedia of Statistical Science 2011: 185-187
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Rob J. Hyndman:
Forecasting: An Overview. International Encyclopedia of Statistical Science 2011: 536-539
[r1]
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Rob J. Hyndman:
Moving Averages. International Encyclopedia of Statistical Science 2011: 866-869

Data and Artifacts

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2022
[d64]
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  - data/10/GodahewaBWHM22
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Extended Wikipedia Web Traffic Daily Dataset (with Missing Values). Zenodo, 2022
[d63]
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Extended Wikipedia Web Traffic Daily Dataset (without Missing Values). Zenodo, 2022
2021
[d62]
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Australian Electricity Demand Dataset. Zenodo, 2021
[d61]
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
COVID-19 Mobility Dataset (with Missing Values). Zenodo, 2021
[d60]
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
COVID-19 Mobility Dataset (without Missing Values). Zenodo, 2021
[d59]
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Bitcoin Dataset with Missing Values. Zenodo, 2021
[d58]
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Bitcoin Dataset without Missing Values. Zenodo, 2021
[d57]
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Rideshare Dataset with Missing Values. Zenodo, 2021
[d56]
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Rideshare Dataset without Missing Values. Zenodo, 2021
[d55]
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Vehicle Trips Dataset with Missing Values. Zenodo, 2021
[d54]
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Vehicle Trips Dataset without Missing Values. Zenodo, 2021
[d53]
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Temperature Rain Dataset with Missing Values. Zenodo, 2021
[d52]
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Temperature Rain Dataset without Missing Values. Zenodo, 2021
[d51]
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  - data/10/GodahewaBWHM21k
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Oikolab Weather Dataset. Zenodo, 2021
2020
[d50]
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  - data/10/GodahewaBWAHM20
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi, Rob J. Hyndman, Pablo Montero-Manso:
Wind Farms Dataset (without Missing Values). Version 2. Zenodo, 2020 [all versions]
[d49]
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  - data/10/GodahewaBWAHM20a
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi, Rob J. Hyndman, Pablo Montero-Manso:
Wind Farms Dataset (with Missing Values). Version 2. Zenodo, 2020 [all versions]
[d48]
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  - data/10/GodahewaBWAHM20b
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi, Rob J. Hyndman, Pablo Montero-Manso:
Solar Power Dataset (4 Seconds Observations). Version 2. Zenodo, 2020 [all versions]
[d47]
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  - data/10/GodahewaBWAHM20c
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi, Rob J. Hyndman, Pablo Montero-Manso:
Wind Power Dataset (4 Seconds Observations). Version 2. Zenodo, 2020 [all versions]
[d46]
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  - data/10/GodahewaBWHM20
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Sunspot Daily Dataset (without Missing Values). Version 4. Zenodo, 2020 [all versions]
[d45]
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  - data/10/GodahewaBWHM20a
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Sunspot Daily Dataset (with Missing Values). Version 4. Zenodo, 2020 [all versions]
[d44]
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  - data/10/GodahewaBWHM20aa
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M1 Yearly Dataset. Version 4. Zenodo, 2020 [all versions]
[d43]
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  - data/10/GodahewaBWHM20ab
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M3 Yearly Dataset. Version 3. Zenodo, 2020 [all versions]
[d42]
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  - data/10/GodahewaBWHM20ac
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M3 Quarterly Dataset. Version 3. Zenodo, 2020 [all versions]
[d41]
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  - data/10/GodahewaBWHM20ad
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M3 Monthly Dataset. Version 3. Zenodo, 2020 [all versions]
[d40]
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  - data/10/GodahewaBWHM20ae
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M3 Other Dataset. Version 3. Zenodo, 2020 [all versions]
[d39]
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  - data/10/GodahewaBWHM20af
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M4 Yearly Dataset. Version 4. Zenodo, 2020 [all versions]
[d38]
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  - data/10/GodahewaBWHM20ag
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M4 Quarterly Dataset. Version 3. Zenodo, 2020 [all versions]
[d37]
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  - data/10/GodahewaBWHM20ah
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M4 Monthly Dataset. Version 3. Zenodo, 2020 [all versions]
[d36]
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  - data/10/GodahewaBWHM20ai
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M4 Weekly Dataset. Version 3. Zenodo, 2020 [all versions]
[d35]
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  - data/10/GodahewaBWHM20aj
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M4 Daily Dataset. Version 3. Zenodo, 2020 [all versions]
[d34]
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  - data/10/GodahewaBWHM20ak
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
London Smart Meters Dataset (without Missing Values). Version 3. Zenodo, 2020 [all versions]
[d33]
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  - data/10/GodahewaBWHM20al
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M4 Hourly Dataset. Version 3. Zenodo, 2020 [all versions]
[d32]
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  - data/10/GodahewaBWHM20am
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Melbourne Pedestrian Counts Dataset. Version 3. Zenodo, 2020 [all versions]
[d31]
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  - data/10/GodahewaBWHM20an
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Kaggle Wikipedia Web Traffic Weekly Dataset. Version 3. Zenodo, 2020 [all versions]
[d30]
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  - data/10/GodahewaBWHM20ao
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
KDD Cup Dataset (with Missing Values). Version 4. Zenodo, 2020 [all versions]
[d29]
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  - data/10/GodahewaBWHM20ap
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
KDD Cup Dataset (without Missing Values). Version 4. Zenodo, 2020 [all versions]
[d28]
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  - data/10/GodahewaBWHM20b
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  - https://dblp.org/rec/data/10/GodahewaBWHM20b
Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
COVID-19 Deaths Dataset. Version 2. Zenodo, 2020 [all versions]
[d27]
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  - data/10/GodahewaBWHM20c
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Hospital Dataset. Version 2. Zenodo, 2020 [all versions]
[d26]
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  - data/10/GodahewaBWHM20d
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Car Parts Dataset (without Missing Values). Version 2. Zenodo, 2020 [all versions]
[d25]
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  - data/10/GodahewaBWHM20e
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Car Parts Dataset (with Missing Values). Version 2. Zenodo, 2020 [all versions]
[d24]
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  - data/10/GodahewaBWHM20f
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
CIF 2016 Dataset. Version 5. Zenodo, 2020 [all versions]
[d23]
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  - data/10/GodahewaBWHM20g
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
US Births Dataset. Version 2. Zenodo, 2020 [all versions]
[d22]
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  - data/10/GodahewaBWHM20h
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Saugeen River Flow (SaugeenDay) Dataset. Version 2. Zenodo, 2020 [all versions]
[d21]
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  - data/10/GodahewaBWHM20i
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Electricity Demand (Elecdemand) Dataset. Version 2. Zenodo, 2020 [all versions]
[d20]
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  - data/10/GodahewaBWHM20j
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
London Smart Meters Dataset (with Missing Values). Version 3. Zenodo, 2020 [all versions]
[d19]
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  - data/10/GodahewaBWHM20k
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  - https://dblp.org/rec/data/10/GodahewaBWHM20k
Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Kaggle Wikipedia Web Traffic Daily Dataset (without Missing Values). Version 3. Zenodo, 2020 [all versions]
[d18]
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  - data/10/GodahewaBWHM20l
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  - https://dblp.org/rec/data/10/GodahewaBWHM20l
Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Kaggle Wikipedia Web Traffic Daily Dataset (with Missing Values). Version 3. Zenodo, 2020 [all versions]
[d17]
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  - data/10/GodahewaBWHM20m
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Tourism Quarterly Dataset. Version 3. Zenodo, 2020 [all versions]
[d16]
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  - data/10/GodahewaBWHM20n
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Tourism Monthly Dataset. Version 3. Zenodo, 2020 [all versions]
[d15]
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  - data/10/GodahewaBWHM20o
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Tourism Yearly Dataset. Version 3. Zenodo, 2020 [all versions]
[d14]
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  - data/10/GodahewaBWHM20p
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  - https://dblp.org/rec/data/10/GodahewaBWHM20p
Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
NN5 Daily Dataset (with Missing Values). Version 3. Zenodo, 2020 [all versions]
[d13]
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  - data/10/GodahewaBWHM20q
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  - https://dblp.org/rec/data/10/GodahewaBWHM20q
Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
NN5 Daily Dataset (without Missing Values). Version 3. Zenodo, 2020 [all versions]
[d12]
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  - data/10/GodahewaBWHM20r
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  - https://dblp.org/rec/data/10/GodahewaBWHM20r
Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
NN5 Weekly Dataset. Version 3. Zenodo, 2020 [all versions]
[d11]
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  - data/10/GodahewaBWHM20s
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  - https://dblp.org/rec/data/10/GodahewaBWHM20s
Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Traffic Hourly Dataset. Version 3. Zenodo, 2020 [all versions]
[d10]
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  - data/10/GodahewaBWHM20t
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  - https://dblp.org/rec/data/10/GodahewaBWHM20t
Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Traffic Weekly Dataset. Version 3. Zenodo, 2020 [all versions]
[d9]
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  - data/10/GodahewaBWHM20u
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  - https://dblp.org/rec/data/10/GodahewaBWHM20u
Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Electricity Hourly Dataset. Version 3. Zenodo, 2020 [all versions]
[d8]
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  - data/10/GodahewaBWHM20v
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Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Electricity Weekly Dataset. Version 3. Zenodo, 2020 [all versions]
[d7]
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  - data/10/GodahewaBWHM20w
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  - https://dblp.org/rec/data/10/GodahewaBWHM20w
Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Solar Dataset (10 Minutes Observations). Version 3. Zenodo, 2020 [all versions]
[d6]
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  - data/10/GodahewaBWHM20x
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  - https://dblp.org/rec/data/10/GodahewaBWHM20x
Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Solar Weekly Dataset. Version 3. Zenodo, 2020 [all versions]
[d5]
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  dblp key:
  - data/10/GodahewaBWHM20y
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  - https://dblp.org/rec/data/10/GodahewaBWHM20y
Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M1 Quarterly Dataset. Version 3. Zenodo, 2020 [all versions]
[d4]
- view
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  dblp key:
  - data/10/GodahewaBWHM20z
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  - https://dblp.org/rec/data/10/GodahewaBWHM20z
Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M1 Monthly Dataset. Version 3. Zenodo, 2020 [all versions]
[d3]
- view
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  dblp key:
  - data/10/GodahewaBWMH20
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  - https://dblp.org/rec/data/10/GodahewaBWMH20
Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Pablo Montero-Manso, Rob J. Hyndman:
Dominick Dataset. Version 2. Zenodo, 2020 [all versions]
[d2]
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  dblp key:
  - data/10/GodahewaBWMH20a
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  - https://dblp.org/rec/data/10/GodahewaBWMH20a
Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Pablo Montero-Manso, Rob J. Hyndman:
Weather Dataset. Version 2. Zenodo, 2020 [all versions]
[d1]
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  dblp key:
  - data/10/GodahewaBWMH20b
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  persistent URL:
  - https://dblp.org/rec/data/10/GodahewaBWMH20b
Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Pablo Montero-Manso, Rob J. Hyndman:
FRED-MD Dataset. Version 2. Zenodo, 2020 [all versions]

Informal and Other Publications

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What is the meaning of the colors in the publication lists?

2022
[i14]
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  - journals/corr/abs-2210-07407
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Sevvandi Kandanaarachchi, Rob J. Hyndman:
Anomaly detection in dynamic networks. CoRR abs/2210.07407 (2022)
2021
[i13]
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  - electronic edition @ arxiv.org (open access)
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  - journals/corr/abs-2103-11773
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  - https://dblp.org/rec/journals/corr/abs-2103-11773
Fan Cheng, Rob J. Hyndman, Anastasios Panagiotelis:
Manifold learning with approximate nearest neighbors. CoRR abs/2103.11773 (2021)
[i12]
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Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso:
Monash Time Series Forecasting Archive. CoRR abs/2105.06643 (2021)
[i11]
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Insha Ullah, Kerrie L. Mengersen, Rob J. Hyndman, James M. McGree:
Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis. CoRR abs/2107.12592 (2021)
[i10]
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Hansika Hewamalage, Pablo Montero-Manso, Christoph Bergmeir, Rob J. Hyndman:
A Look at the Evaluation Setup of the M5 Forecasting Competition. CoRR abs/2108.03588 (2021)
[i9]
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  - journals/corr/abs-2111-07001
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Dilini Rajapaksha, Christoph Bergmeir, Rob J. Hyndman:
LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts. CoRR abs/2111.07001 (2021)
2020
[i8]
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  - journals/corr/abs-2006-02043
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Evangelos Spiliotis, Mahdi Abolghasemi, Rob J. Hyndman, Fotios Petropoulos, Vassilios Assimakopoulos:
Hierarchical forecast reconciliation with machine learning. CoRR abs/2006.02043 (2020)
[i7]
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Pablo Montero-Manso, Rob J. Hyndman:
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality. CoRR abs/2008.00444 (2020)
[i6]
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  - journals/corr/abs-2009-11669
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Bahman Rostami Tabar, Mohammad M. Ali, Tao Hong, Rob J. Hyndman, Michael D. Porter, Aris A. Syntetos:
Forecasting for Social Good. CoRR abs/2009.11669 (2020)
[i5]
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  - journals/corr/abs-2010-10742
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Mahdi Abolghasemi, Rob J. Hyndman, Evangelos Spiliotis, Christoph Bergmeir:
Model selection in reconciling hierarchical time series. CoRR abs/2010.10742 (2020)
2019
[i4]
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  - journals/corr/abs-1903-02787
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Yanfei Kang, Rob J. Hyndman, Feng Li:
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics. CoRR abs/1903.02787 (2019)
[i3]
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Priyanga Dilini Talagala, Rob J. Hyndman, Kate Smith-Miles:
Anomaly Detection in High Dimensional Data. CoRR abs/1908.04000 (2019)
[i2]
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  - journals/corr/abs-1912-00370
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Mahdi Abolghasemi, Rob J. Hyndman, Garth Tarr, Christoph Bergmeir:
Machine learning applications in time series hierarchical forecasting. CoRR abs/1912.00370 (2019)
2018
[i1]
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Anne Driemel, Rob J. Hyndman, Galit Shmueli:
Analysing Large Collections of Time Series (NII Shonan Meeting 2018-3). NII Shonan Meet. Rep. 2018 (2018)

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