Rob J. Hyndman
Orcid: 0000-0002-2140-5352
According to our database1,
Rob J. Hyndman
authored at least 116 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on twitter.com
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on orcid.org
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on id.loc.gov
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on github.com
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on d-nb.info
On csauthors.net:
Bibliography
2024
Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphs.
CoRR, 2024
2023
Probabilistic forecast reconciliation: Properties, evaluation and score optimisation.
Eur. J. Oper. Res., 2023
2022
Dataset, November, 2022
Dataset, November, 2022
J. Comput. Graph. Stat., January, 2022
Visualizing Probability Distributions Across Bivariate Cyclic Temporal Granularities.
J. Comput. Graph. Stat., 2022
2021
Eur. J. Oper. Res., 2021
LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts.
CoRR, 2021
Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis.
CoRR, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
2020
Dataset, June, 2020
Dataset, June, 2020
Stat. Anal. Data Min., 2020
Data Min. Knowl. Discov., 2020
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality.
CoRR, 2020
2019
2018
NII Shonan Meet. Rep., 2018
Exploring the sources of uncertainty: Why does bagging for time series forecasting work?
Eur. J. Oper. Res., 2018
A note on the validity of cross-validation for evaluating autoregressive time series prediction.
Comput. Stat. Data Anal., 2018
2017
J. Oper. Res. Soc., 2017
J. Glob. Optim., 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
2016
Forecasting Uncertainty in Electricity Smart Meter Data by Boosting Additive Quantile Regression.
IEEE Trans. Smart Grid, 2016
Comput. Stat. Data Anal., 2016
Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016
2015
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
2014
Proceedings of the Learning and Intelligent Optimization, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2011
Proceedings of the International Encyclopedia of Statistical Science, 2011
Proceedings of the International Encyclopedia of Statistical Science, 2011
Proceedings of the International Encyclopedia of Statistical Science, 2011
Math. Comput. Simul., 2011
Improved interval estimation of long run response from a dynamic linear model: A highest density region approach.
Comput. Stat. Data Anal., 2011
Comput. Stat. Data Anal., 2011
2010
Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series.
Neurocomputing, 2009
2008
2007
Half-life estimation based on the bias-corrected bootstrap: A highest density region approach.
Comput. Stat. Data Anal., 2007
Comput. Stat. Data Anal., 2007
2006
The accuracy of television network rating forecasts: The effects of data aggregation and alternative models.
Model. Assist. Stat. Appl., 2006
A Bayesian approach to bandwidth selection for multivariate kernel density estimation.
Comput. Stat. Data Anal., 2006
2005
Proceedings of the Computational Science, 2005
2004
Eur. J. Oper. Res., 2004