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rjhpubs.bib
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@misc{chfr,
author = {Mahdi Abolghasemi and Rob J Hyndman and Evangelos Spiliotis and Christoph Bergmeir},
year = 2020,
title = {Model selection in reconciling hierarchial time series},
url = {arxiv.org/abs/2010.10742}
}
@article{moderntsreg,
author = {Stephanie Clark and Rob J Hyndman and Dan Pagendam and Louise M Ryan},
year = 2020,
title = {Modern strategies for time series regression},
journal = {International Statistical Review},
note = {to appear}
}
@techreport{gravitas,
author = {Sayani Gupta and Rob J Hyndman and Dianne Cook and Antony Unwin},
title = {Visualizing probability distributions across bivariate cyclic temporal granularities},
year = 2020,
institution = {Department of Econometrics \& Business Statistics, Monash University},
type = {Working Paper},
number = {35/20},
url = {robjhyndman.com/publications/gravitas}
}
@techreport{pension,
author = {Rob J Hyndman and Yijun Zeng and Han Lin Shang},
title = {Forecasting the old-age dependency ratio to determine a sustainable pension age},
year = 2020,
institution = {Department of Econometrics \& Business Statistics, Monash University},
type = {Working Paper},
number = {31/20},
url = {robjhyndman.com/publications/pensionage}
}
@techreport{fsg,
author = {Bahman Rostami-Tabar and Mohammad M Ali and Tao Hong and Rob J Hyndman and Michael D Porter and Aris Syntetos},
title = {Forecasting for Social Good},
year = 2020,
institution = {Department of Econometrics \& Business Statistics, Monash University},
type = {Working Paper},
number = {37/20},
url = {robjhyndman.com/publications/fsg}
}
@inbook{quantileensembles,
year = 2021,
author = {Rob J Hyndman},
title = "Quantile forecasting with ensembles and combinations",
booktitle = {Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning},
publisher = {John Wiley \& Sons},
editor = {Michael Gilliland and Len Tashman and Udo Sglavo}
}
@techreport{globalforecasting,
year = 2020,
title = {Principles and algorithms for forecasting groups of time series: locality and globality},
author = {Pablo Montero-Manso and Rob J Hyndman},
url = {robjhyndman.com/publications/global-forecasting/},
institution = {Department of Econometrics \& Business Statistics, Monash University},
type = {Working Paper},
}
@misc{hfrml,
year = 2020,
title = "Hierarchical forecast reconciliation with machine learning",
author = "Evangelos Spiliotis and Mahdi Abolghasemi and Rob J Hyndman and Fotios Petropoulos and Vassilios Assimakopoulos",
url = "robjhyndman.com/publications/hfrml/"
}
@misc{uslongevity,
year = 2020,
title = "Assessing Longevity Inequality in the US: What Can Be Said About the Future?",
author = "Han Li and Rob J Hyndman",
url = "robjhyndman.com/publications/us-longevity/"
}
@techreport{darima,
year = 2020,
title = {Distributed ARIMA Models for Ultra-long Time Series},
author = {Xiaoqian Wang and Yanfei Kang and Rob J Hyndman and Feng Li},
url = {robjhyndman.com/publications/darima/},
institution = {Department of Econometrics \& Business Statistics, Monash University},
type = {Working Paper},
number = {29/20}
}
@misc{covid19a,
year = 2020,
title = "Estimating temporal variation in transmission of SARS-CoV-2 and physical distancing behaviour in {Australia}",
author = "Nick Golding and Freya M Shearer and Robert Moss and Peter Dawson and Dennis Liu and Joshua V Ross and Rob J Hyndman and Cameron Zachreson and Nic Geard and Jodie McVernon and David J Price and James M McCaw",
url = "robjhyndman.com/publications/covid19/"
}
@article{smartmeterhts,
title = {Hierarchical Probabilistic Forecasting of Electricity Demand with Smart Meter Data},
author = {Souhaib {Ben Taieb} and James W Taylor and Rob J Hyndman},
journal = {J American Statistical Association},
year = 2020,
note = {published online. Accepted 21 February 2020.},
url = {robjhyndman.com/publications/hpf-electricity/},
}
@inbook{colorectal,
author = {Don Vicendese and L Te Marvelde and P D McNair and Souhaib {Ben Taieb} and Rob J Hyndman and R Thomas},
title = {Predicting the whole distribution with methods for depth data analysis demonstrated on a colorectal cancer treatment study},
year = 2019,
booktitle = {Statistics and Data Science},
editor = {H Nguyen},
publisher = {Springer},
address = {Singapore},
series = {Communications in Computer and Information Science},
volume = 1150,
pages = {162-182}
}
@techreport{lhf,
author = {Mahsa Ashouri and Rob J Hyndman and Galit Shmueli},
title = {Fast forecast reconciliation using linear models},
year = 2019,
institution = {Department of Econometrics \& Business Statistics, Monash University},
type = {Working Paper},
number = {29/19},
url = {robjhyndman.com/publications/lhf}
}
@misc{mlhts,
author = {Mahdi Abolghasemi and Rob J Hyndman and Garth Tarr and Christoph Bergmeir},
year = 2019,
title = {Machine learning applications in time series hierarchical forecasting},
url = {arxiv.org/abs/1912.00370}
}
@article{htsgeometry,
author = {Anastasios Panagiotelis and Puwasala Gamakumara and George Athanasopoulos and Rob J Hyndman},
year = 2020,
title = {Forecast reconciliation: A geometric view with new insights on bias correction},
journal = "International Journal of Forecasting",
volume = 37,
number = 1,
pages = "343-359",
url = {robjhyndman.com/publications/hierarchical-geometry},
}
@article{dobin,
year = 2020,
author = {Sevvandi Kandanaarachchi and Rob J Hyndman},
title = {Dimension reduction for outlier detection using {DOBIN}},
url = {robjhyndman.com/publications/dobin},
journal = {J Computational \& Graphical Statistics},
note = {to appear}
}
@article{forecastingcompetitions,
author = {Rob J Hyndman},
title = {A brief history of forecasting competitions},
year = 2020,
url = {robjhyndman.com/publications/forecasting-competitions},
journal = {International Journal of Forecasting},
volume = {36},
number = {1},
pages = {7-14},
}
@article{forecastingsofa,
author = {Spyros Makridakis and Rob J Hyndman and Fotios Petropoulos},
title = {Forecasting in social settings: the state of the art},
year = 2020,
url = {robjhyndman.com/publications/forecasting-sofa},
journal = {International Journal of Forecasting},
volume = {36},
number = {1},
pages = {15-28},
}
@article{fforma,
title = {{FFORMA}: Feature-based Forecast Model Averaging},
author = {Pablo Montero-Manso and George Athanasopoulos and Rob J Hyndman and Thiyanga S Talagala},
year = 2020,
journal = {International Journal of Forecasting},
volume = {36},
number = {1},
pages = {86-92},
url = {robjhyndman.com/publications/fforma/},
}
@InBook{macrohts,
author = {George Athanasopoulos and Puwasala Gamakumara and Anastasios Panagiotelis and Rob J Hyndman and Mohamed Affan},
year = 2020,
title = {Hierarchical forecasting},
booktitle = {Macroeconomic forecasting in the era of big data},
editor = {P. Fuleky},
chapter = {21},
publisher = {Springer},
pages = {689-719},
url = {robjhyndman.com/publications/hierarchical-forecasting},
}
@article{swissexports,
title = {Forecasting {Swiss} exports using {Bayesian} forecast reconciliation},
author = {Florian Eckert and Rob J Hyndman and Anastasios Panagiotelis},
year = 2020,
url = {robjhyndman.com/publications/swiss-exports/},
journal = {European J Operational Research},
note = {to appear}
}
@article{elections,
title = {Spatial modelling of the two-party preferred vote in {Australian} federal elections: 2001--2016},
author = {Jeremy Forbes and Dianne Cook and Rob J Hyndman},
year = 2020,
journal = {Australian \& New Zealand Journal of Statistics},
volume = 62,
number = 2,
pages = {168-185},
url = {robjhyndman.com/publications/elections/},
}
@InProceedings{hftliquidity,
year = 2019,
author = {Michael Hirsch and Dianne Cook and Paul Lajbcygier and Rob J Hyndman},
title = {Revealing high-frequency trading provision of liquidity with visualization},
booktitle = {Proceedings of the 2nd International Conference on Software Engineering and Information Management},
address = {Bali, Indonesia. 10-13 January 2019},
pages = {157-165},
publisher = {ACM},
url = {robjhyndman.com/publications/hft-liquidity},
}
@article{ausmacrofcast,
title = {Macroeconomic forecasting for {Australia} using a large number of predictors},
author = {Anastasios Panagiotelis and George Athanasopoulos and Rob J Hyndman and Bin Jiang and Farshid Vahid},
year = 2019,
journal = {International Journal of Forecasting},
volume = {35},
number = {2},
pages = {616-633},
url = {robjhyndman.com/publications/ausmacrofcast},
}
@article{Water2,
title = {A framework for automated anomaly detection in high frequency water-quality data from in situ sensors},
author = {Catherine Leigh and Omar Alsibai and Rob J Hyndman and Sevvandi Kandanaarachchi and Olivia C King and James M McGree and Catherine Neelamraju and Jennifer Strauss and Priyanga Dilini Talagala and Ryan S Turner and Kerrie Mengersen and Erin E Peterson},
year = 2019,
url = {robjhyndman.com/publications/water-quality-2/},
journal = {Science of the Total Environment},
volume = {664},
pages = {885-898},
}
@InProceedings{energy-savings,
author = {Alexander Severinsen and Rob J Hyndman},
year = 2019,
title = {Quantification of energy savings from energy conservation measures in buildings using machine learning},
booktitle = {ECEEE Summer Study Proceedings},
address = {Presqu'île de Giens, France},
note = {3-8 June 2019},
}
@article{oddwater,
title = {A feature-based procedure for detecting technical outliers in water-quality data from in situ sensors},
author = {Priyanga Dilini Talagala and Rob J Hyndman and Catherine Leigh and Kerrie Mengersen and Kate Smith-Miles},
year = 2019,
url = {robjhyndman.com/publications/oddwater/},
journal = {Water Resources Research},
volume = 55,
issue = 11,
pages = {8547-8568}
}
@article{stray,
title = {Anomaly detection in high-dimensional data},
author = {Priyanga Dilini Talagala and Rob J Hyndman and Kate Smith-Miles},
year = 2020,
journal = {J Computational \& Graphical Statistics},
url = {robjhyndman.com/publications/stray/},
note = {to appear}
}
@article{oddstream,
author = {Priyanga Dilini Talagala and Rob J Hyndman and Kate Smith-Miles and Sevvandi Kandanaarachchi and Mario Andres Mu{\~n}oz},
year = 2020,
journal = {J Computational \& Graphical Statistics},
title = {Anomaly detection in streaming nonstationary temporal data},
url = {robjhyndman.com/publications/oddstream/},
volume = 20,
issue = 1,
pages = {13-27}
}
@Unpublished{ndisanomalies,
author = {Insha Ullah and Kerrie Mengersen and Rob J Hyndman and James McGree},
year = 2019,
title = {Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis},
url = {robjhyndman.com/publications/ndis-anomalies/},
}
@article{hospital-los,
title = {Hospital characteristics, rather than surgical volume, predict length of stay following colorectal cancer surgery},
author = {Don Vicendese and L Te Marvelde and P D McNair and Souhaib {Ben Taieb} and Rob J Hyndman and R Thomas},
year = 2020,
journal = {Australian and New Zealand Journal of Public Health},
volume = 44,
issue = 1,
pages = {73-82}
}
@article{tsibble,
author = {Earo Wang and Di Cook and Rob J Hyndman},
title = {A new tidy data structure to support exploration and modeling of temporal data},
year = 2020,
url = {robjhyndman.com/publications/tsibble},
journal = {J Computational \& Graphical Statistics},
note = {published online. Accepted 22 November 2019.}
}
@article{mint,
title = {Optimal forecast reconciliation for hierarchical and grouped time series through trace minimization},
author = {Shanika L Wickramasuriya and George Athanasopoulos and Rob J Hyndman},
journal = {J American Statistical Association},
year = 2019,
volume = {114},
number = {526},
pages = {804-819},
}
@article{nonnegmint,
title = {Optimal non-negative forecast reconciliation},
author = {Shanika L Wickramasuriya and Berwin A Turlach and Rob J Hyndman},
year = 2020,
url = {robjhyndman.com/publications/nnmint/},
journal = {Statistics \& Computing},
volume = 30,
number = 5,
pages = {1167-1182},
}
@TechReport{sfar,
title = {Seasonal functional autoregressive models},
author = {Atefeh Zamani and Hossein Haghbin and Maryam Hashemi and Rob J Hyndman},
year = 2019,
url = {robjhyndman.com/publications/sfar/},
institution = {Department of Econometrics \& Business Statistics, Monash University},
type = {Working Paper},
number = {16/19},
}
@article{tscv,
title = {A note on the validity of cross-validation for evaluating autoregressive time series prediction},
author = {Christoph Bergmeir and Rob J Hyndman and Bonsoo Koo},
year = 2018,
volume = {120},
pages = {70-83},
journal = {Computational Statistics \& Data Analysis},
url = {robjhyndman.com/publications/cv-time-series/},
}
@article{bivarridges,
title = {Bivariate smoothing of mortality surfaces with cohort and period ridges},
journal = {Stat},
volume = {7},
number = {e199},
author = {Alexander Dokumentov and Rob J Hyndman and Leonie Tickle},
year = 2018,
}
@TechReport{coherentprob,
author = {Anastasios Panagiotelis and Puwasala Gamakumara and George Athanasopoulos and Rob J Hyndman},
year = 2020,
title = {Probabilistic forecast reconciliation: properties, evaluation and score optimisation},
institution = {Department of Econometrics \& Business Statistics, Monash University},
type = {Working Paper},
number = {26/20},
url = {robjhyndman.com/publications/coherentprob/},
}
@Book{fpp2,
title = {Forecasting: principles and practice},
author = {Rob J Hyndman and George Athanasopoulos},
year = 2018,
publisher = {OTexts},
url = {OTexts.org/fpp2},
edition = {2nd ed},
address = {Melbourne, Australia},
}
@article{vizenergy,
author = {Rob J Hyndman and Xueqin A Lin and Pierre Pinson},
year = 2018,
journal = {IEEE Power and Energy Magazine},
title = {Visualizing Big Energy Data: Solutions for This Crucial Component of Data Analysis},
volume = {16},
number = {3},
pages = {18-25},
}
@article{earlyclassification,
author = {Sevvandi Kandanaarachchi and Rob J Hyndman and Kate Smith-Miles},
year = 2020,
title = {Early classification of spatio-temporal events using time-varying models},
journal = {PLOS ONE},
volume = 15,
issue = 8,
pages = {e0236331},
url = {robjhyndman.com/publications/eventstream},
}
@article{normalizationoutliers,
author = {Sevvandi Kandanaarachchi and Mario Andres Mu{\~n}oz and Rob J Hyndman and Kate Smith-Miles},
year = 2020,
title = {On normalization and algorithm selection for unsupervised outlier detection},
url = {robjhyndman.com/publications/normalization-outliers/},
journal = "Data Mining and Knowledge Discovery",
volume = 34,
pages = {309-354}
}
@article{tsgeneration,
author = {Yanfei Kang and Rob J Hyndman and Feng Li},
year = 2020,
title = {GRATIS: GeneRAting TIme Series with diverse and controllable characteristics},
journal = {Statistical Analysis and Data Mining},
url = {robjhyndman.com/publications/gratis/},
volume = 13,
number = 4,
pages={354-376}
}
@article{Water3,
title = {Predicting sediment and nutrient concentrations in rivers using high frequency water quality surrogates},
author = {Catherine Leigh and Sevvandi Kandanaarachchi and James M McGree and Rob J Hyndman and Omar Alsibai and Kerrie Mengersen and Erin E Peterson},
journal = {PLOS ONE},
year = 2019,
url = {robjhyndman.com/publications/water-quality/},
volume = 14,
issue = 8,
pages = {e0215503}
}
@article{bagginguncertainty,
title = {Exploring the sources of uncertainty: why does bagging for time series forecasting work?},
author = {Fotios Petropoulos and Rob J Hyndman and Christoph Bergmeir},
journal = {European Journal of Operational Research},
year = 2018,
volume = {268},
number = {2},
pages = {545-554},
}
@TechReport{fforms,
title = {Meta-learning how to forecast time series},
author = {Thiyanga S Talagala and Rob J Hyndman and George Athanasopoulos},
year = 2018,
institution = {Department of Econometrics \& Business Statistics, Monash University},
type = {Working Paper},
number = {6/18},
url = {robjhyndman.com/publications/fforms/},
}
@article{crudeoil,
title = {Crude oil price forecasting based on internet concern using an extreme learning machine},
author = {Jue Wang and George Athanasopoulos and Rob J Hyndman and Shouyang Wang},
journal = {International Journal of Forecasting},
volume = {34},
number = {4},
pages = {665--677},
year = 2018,
}
@article{temporal-hierarchies,
title = {Forecasting with temporal hierarchies},
author = {George Athanasopoulos and Rob J Hyndman and Nikolaos Kourentzes and Fotios Petropoulos},
year = 2017,
number = {1},
pages = {60-74},
volume = {262},
journal = {European Journal of Operational Research},
}
@TechReport{ausmacrodata,
title = {The {Australian Macro Database}: An online resource for macroeconomic research in {Australia}},
author = {Timur Behlul and Anastasios Panagiotelis and George Athanasopoulos and Rob J Hyndman and Farshid Vahid},
institution = {Department of Econometrics \& Business Statistics, Monash University},
year = 2017,
number = {17/01},
type = {Working paper},
url = {robjhyndman.com/publications/ausmacrodata},
}
@InProceedings{probhts,
title = {Coherent probabilistic forecasts for hierarchical time series},
author = {Souhaib {Ben~Taieb} and James W Taylor and Rob J Hyndman},
booktitle = {Proceedings of the 34th International Conference on Machine Learning, PMLR},
year = 2017,
volume = {70},
pages = {3348-3357},
}
@article{fvanaive,
title = {A note on upper bounds for forecast-value-added relative to naïve forecasts},
author = {Paul Goodwin and Fotios Petropoulos and Rob J Hyndman},
year = 2017,
volume = {68},
issue = {9},
pages = {1082-1084},
journal = {Journal of the Operational Research Society},
}
@article{m3pca,
title = {Visualising forecasting algorithm performance using time series instance spaces},
author = {Yanfei Kang and Rob J Hyndman and Kate Smith-Miles},
year = 2017,
number = {2},
pages = {345-358},
volume = {33},
journal = {International Journal of Forecasting},
}
@article{hfts,
title = {Grouped functional time series forecasting: an application to age-specific mortality rates},
author = {Han Lin Shang and Rob J Hyndman},
year = 2017,
number = {2},
pages = {330-343},
volume = {26},
journal = {J Computational \& Graphical Statistics},
}
@article{dynamicpareto,
title = {Dynamic Algorithm Selection for Pareto Optimal Set Approximation},
author = {Ingrida Steponavi{\v c}\.e and Rob J Hyndman and Kate Smith-Miles and Laura Villanova},
year = 2017,
issue = {1},
pages = {263-282},
volume = {67},
journal = {Journal of Global Optimization},
}
@article{handguns,
title = {Handgun acquisitions in {California} after two mass shootings},
author = {D M Studdert and Y Zhang and J A Rodden and R J Hyndman and G J Wintemute},
year = 2017,
number = {10},
pages = {698-706},
volume = {166},
journal = {Annals of Internal Medicine},
}
@article{Tham2016,
title = {Associations between outdoor fungal spores and childhood and adolescent asthma hospitalisations},
author = {Rachel Tham and Don Vicendese and Shyamali C Dharmage and Rob J Hyndman and Ed Newbigin and Emma Lewis and Molly O'Sullivan and Adrian J Lowe and Philip Taylor and Philip Bardin and Mimi L Tang and Michael J Abramson and Bircan Erbas},
year = 2017,
issue = {4},
pages = {1140–1147.e4},
volume = {139},
journal = {Journal of Allergy and Clinical Immunology},
}
@article{calendarviz,
author = {Earo Wang and Dianne Cook and Rob J Hyndman},
year = 2020,
title = {Calendar-based graphics for visualizing people's daily schedules},
journal = {J Computational \& Graphical Statistics},
volume = 29,
issue = 3,
pages = {490-502},
url = {robjhyndman.com/publications/calendar-vis},
}
@article{smart-meter-quantiles,
title = {Forecasting uncertainty in electricity smart meter data by boosting additive quantile regression},
author = {Souhaib {Ben~Taieb} and Raphael Huser and Rob J Hyndman and Marc G Genton},
year = 2016,
issue = {5},
pages = {2448-2455},
volume = {7},
journal = {IEEE Transactions on Smart Grid},
}
@article{baggedETS,
title = {Bagging exponential smoothing methods using {STL} decomposition and {Box-Cox} transformation},
author = {Christoph Bergmeir and Rob J Hyndman and Jos{\a'e} M Ben{\i}tez},
year = 2016,
number = {2},
pages = {303--312},
volume = {32},
journal = {International Journal of Forecasting},
}
@article{gefcom2014,
title = {Probabilistic Energy Forecasting: Global Energy Forecasting Competition 2014 and Beyond},
author = {Tao Hong and Pierre Pinson and Shu Fan and Hamidreza Zareipour and Alberto Troccoli and Rob J Hyndman},
year = 2016,
number = {3},
pages = {896-913},
volume = {32},
journal = {International Journal of Forecasting},
}
@article{fasthts,
title = {Fast computation of reconciled forecasts for hierarchical and grouped time series},
author = {Rob J Hyndman and Alan Lee and Earo Wang},
year = 2016,
pages = {16--32},
volume = {97},
journal = {Computational Statistics \& Data Analysis},
}
@TechReport{BayesianRankVAR,
title = {Bayesian rank selection in multivariate regression},
author = {Bin Jiang and Anastasios Panagiotelis and George Athanasopoulos and Rob J Hyndman and Farshid Vahid},
institution = {Department of Econometrics \& Business Statistics, Monash University},
year = 2016,
number = {05/16},
type = {Working paper},
url = {robjhyndman.com/publications/bayesian-rank-selection-in-multivariate-regression/},
}
@article{pearce2016exploring,
title = {Exploring the influence of short-term temperature patterns on temperature-related mortality: a case-study of {Melbourne, Australia}},
author = {John L Pearce and Madison Hyer and Rob J Hyndman and Margaret Loughnan and Martine Dennekamp and Neville Nicholls},
year = 2016,
number = {1},
pages = {107},
volume = {15},
journal = {Environmental Health},
}
@InBook{sampling-multiobjective-optimization,
title = {On sampling methods for costly multi-objective black-box optimization},
author = {Ingrida Steponavi{\v c}\.e and Mojdeh Shirazi-Manesh and Rob J. Hyndman and Kate Smith-Miles and Laura Villanova},
booktitle = {Advances in Stochastic and Deterministic Global Optimization},
year = 2016,
editor = {P. M. Pardalos and A. Zhigljavsky and J. {\v Z}ilinskas},
pages = {273–296},
publisher = {Springer},
address = {New York},
}
@TechReport{participationrates,
title = {Long-term forecasts of age-specific participation rates with functional data models},
author = {Thomas Url and Rob J Hyndman and Alexander Dokumentov},
institution = {Department of Econometrics \& Business Statistics, Monash University},
year = 2016,
number = {03/16},
type = {Working paper},
url = {robjhyndman.com/publications/participation-rates/},
}
@TechReport{kdd2015,
title = {Probabilistic time series forecasting with boosted additive models: an application to smart meter data},
author = {Souhaib {Ben~Taieb} and Raphael Huser and Rob J Hyndman and Marc G Genton},
institution = {Department of Econometrics \& Business Statistics, Monash University},
year = 2015,
number = {12/15},
type = {Working paper},
url = {robjhyndman.com/publications/kdd2015},
}
@TechReport{str,
title = {STR: A seasonal-trend decomposition procedure based on regression},
author = {Alexander Dokumentov and Rob J Hyndman},
institution = {Department of Econometrics \& Business Statistics, Monash University},
year = 2015,
number = {13/15},
type = {Working paper},
url = {robjhyndman.com/publications/str/},
}
@article{jaci2015,
title = {Do human rhinovirus infections and food allergy modify grass pollen--induced asthma hospital admissions in children?},
author = {Bircan Erbas and Shyamali C Dharmage and Mimi LK Tang and Muhammad Akram and Katrina J Allen and Don Vicendese and Janet M Davies and Rob J Hyndman and Ed J Newbigin and Philip E Taylor and Philip G Bardin and Michael J Abramson},
year = 2015,
number = {4},
pages = {1118-1120.e2},
volume = {136},
journal = {Journal of Allergy and Clinical Immunology},
}
@InBook{saschapter2,
title = {Another look at forecast-accuracy metrics for intermittent demand},
author = {Rob J Hyndman},
booktitle = {Business Forecasting: Practical Problems and Solutions},
year = 2015,
chapter = {3.8},
editor = {Michael Gilliland and Len Tashman and Udo Sglavo},
pages = {204-211},
publisher = {John Wiley \& Sons},
}
@article{hyndman2015new,
title = {Change to the IJF Editors},
author = {Rob J Hyndman},
year = 2015,
number = {2},
pages = {391},
volume = {31},
journal = {International Journal of Forecasting},
publisher = {Elsevier},
}
@article{acfplots14,
title = {Discussion of ``High-dimensional autocovariance matrices and optimal linear prediction''},
author = {Rob J Hyndman},
year = 2015,
number = {1},
pages = {792-796},
volume = {9},
journal = {Electronic J. Statistics},
}
@InBook{saschapter,
title = {Measuring forecast accuracy},
author = {Rob J Hyndman},
booktitle = {Business Forecasting: Practical Problems and Solutions},
year = 2015,
chapter = {3.4},
editor = {Michael Gilliland and Len Tashman and Udo Sglavo},
pages = {177-184},
publisher = {John Wiley \& Sons},
}
@article{hyndman2015change,
title = {New IJF Editors},
author = {Rob J Hyndman},
year = 2015,
number = {4},
pages = {1104},
volume = {31},
journal = {International Journal of Forecasting},
publisher = {Elsevier},
}
@Book{unbelievable,
title = {Unbelievable},
author = {Rob J Hyndman},
year = 2015,
publisher = {CreateSpace},
url = {robjhyndman.com/unbelievable},
address = {Scotts Valley, CA},
}
@article{lagphase,
title = {Statistical issues with using herbarium data for the estimation of invasion lag-phases},
author = {Rob J Hyndman and Mohsen B Mesgaran and Roger D Cousens},
year = 2015,
number = {12},
pages = {3371-3381},
url = {robjhyndman.com/lagphase},
volume = {17},
journal = {Biological Invasions},
}
@InProceedings{cikm2015,
title = {Large-scale unusual time series detection},
author = {Rob J Hyndman and Earo Wang and Nikolay Laptev},
booktitle = {Proceedings of the IEEE International Conference on Data Mining},
year = 2015,
pages={1616--1619},
publisher = {Atlantic City, NJ, USA. 14--17 November 2015},
}
@article{gefcom,
title = {A gradient boosting approach to the {Kaggle} load forecasting competition},
author = {Souhaib {Ben~Taieb} and Rob J Hyndman},
year = 2014,
number = {2},
pages = {382--394},
volume = {30},
journal = {International Journal of Forecasting},
}
@InProceedings{boostingar,
title = {Boosting multi-step autoregressive forecasts},
author = {Souhaib {Ben~Taieb} and Rob J Hyndman},
booktitle = {Proceedings of The 31st International Conference on Machine Learning},
year = 2014,
pages = {109--117},
url = {jmlr.org/proceedings/papers/v32/taieb14.pdf},
address = {Beijing, China. June 2014},
}
@InBook{BHT14,
title = {Prospective Life Tables},
author = {Heather Booth and Rob J Hyndman and Leonie Tickle},
booktitle = {Computational Actuarial Science with {R}},
editor = {Arthur Charpentier},
year = 2014,
chapter = {8},
pages = {323--348},
publisher = {Chapman \& Hall/CRC},
journal = {Computational Actuarial Science, with R},
}
@TechReport{ropes,
title = {Low-dimensional decomposition, smoothing and forecasting of sparse functional data},
author = {Alexander Dokumentov and Rob J Hyndman},
institution = {Department of Econometrics \& Business Statistics, Monash University},
year = 2014,
number = {16/14},
type = {Working paper},
url = {robjhyndman.com/publications/ropes/},
}
@article{foresight14,
title = {Optimally reconciling forecasts in a hierarchy},
author = {Rob J Hyndman and George Athanasopoulos},
year = 2014,
pages = {42-48},
volume = {Fall 2014},
journal = {Foresight},
}
@InProceedings{iwfos14,
title = {Common functional principal component models for mortality forecasting},
author = {Rob J Hyndman and Farah Yasmeen},
booktitle = {Contributions in infinite-dimensional statistics and related topics},
editor = {Enea G. Bongiorno and Ernesto Salinelli and Aldo Goia and Philippe Vieu},
year = 2014,
chapter = {29},
pages = {161-166},
}
@InProceedings{epic,
title = {Efficient identification of the Pareto optimal set},
author = {Ingrida Steponavi{\v c}\.e and Rob J Hyndman and Kate Smith-Miles and Laura Villanova},
booktitle = {Learning and Intelligent Optimization: Lecture Notes in Computer Science},
year = 2014,
pages = {341-352},
publisher = {Springer},
volume = {8426},
}
@article{fungal14,
title = {Outdoor fungal spores are associated with child asthma hospitalisations --- a case-crossover study},
author = {Rachel Tham and Shyamali Dharmage and Philip Taylor and Ed Newbigin and Mimi L. K. Tang and Don Vicendese and Rob J. Hyndman and Michael J. Abramson and Bircan Erbas},
year = 2014,
number = {Suppl 58},
volume = {44},
journal = {European Respiratory Journal},
}
@article{IJFeditorial13,
title = {Change of editors},
author = {Rob J Hyndman},
year = 2013,
number = {1},
pages = {A1},
volume = {29},
journal = {International Journal of Forecasting},
}
@article{HBY13,
title = {Coherent mortality forecasting: the product-ratio method with functional time series models},
author = {Rob J Hyndman and Heather Booth and Farah Yasmeen},
year = 2013,
number = {1},
pages = {261--283},
volume = {50},
institution = {Department of Econometrics \& Business Statistics, Monash University},
journal = {Demography},
}
@TechReport{rectify,
title = {Recursive and direct multi-step forecasting: the best of both worlds},
author = {Souhaib {Ben~Taieb} and Rob J Hyndman},
year = 2012,
type = {Working paper},
number = {19/12},
url = {robjhyndman.com/publications/rectify/},
institution = {Department of Econometrics \& Business Statistics, Monash University},
number = {19/12},
}
@article{mapcah12,
title = {A case-crossover design to examine the role of aeroallergens and respiratory viruses on childhood asthma exacerbations requiring hospitalization: The {MAPCAH} study},
author = {Bircan Erbas and Shyamali C Dharmage and Molly O Sullivan and Muhammad Akram and Ed Newbigin and Philip Taylor and Don Vicendese and Rob J Hyndman and Philip Bardin and Mimi L Tang and Michael J Abramson},
year = 2012,
number = {018},
volume = {S7},
journal = {Journal of Biometrics \& Biostatistics},
}
@article{EUHSA12,
title = {Forecasts of {COPD} mortality in {Australia}: 2006-2025},
author = {Bircan Erbas and Shahid Ullah and Rob J Hyndman and Michelle Scollo and Michael J Abramson},
year = 2012,
number = {1},
pages = {17},
volume = {12},
journal = {BMC Medical Research Methodology},
publisher = {BioMed Central Ltd},
}
@article{FH11,
title = {Short-term load forecasting based on a semi-parametric additive model},
author = {Shu Fan and Rob J Hyndman},
year = 2012,
number = {1},
pages = {134--141},
volume = {27},
journal = {IEEE Transactions on Power Systems},
}
@article{AH11,
title = {The value of feedback in forecasting competitions},
author = {George Athanasopoulos and Rob J Hyndman},
year = 2011,
number = {3},
pages = {845--849},
volume = {27},
journal = {International Journal of Forecasting},
publisher = {Elsevier B.V.},
}
@article{AHSW11,
title = {The tourism forecasting competition},
author = {George Athanasopoulos and Rob J Hyndman and Haiyan Song and Doris C Wu},
year = 2011,
number = {3},
pages = {822--844},
volume = {27},
journal = {International Journal of Forecasting},
publisher = {Elsevier B.V.},
}
@article{Carta2011,
title = {Method for optimizing coating properties based on an evolutionary algorithm approach},
author = {Davide Carta and Laura Villanova and Stefano Costacurta and Alessandro Patelli and Irene Poli and Simone Vezzù and Paolo Scopece and Fabio Lisi and Kate Smith-Miles and Rob J Hyndman and Anita J Hill and Paolo Falcaro},
year = 2011,
number = {16},
pages = {6373--6380},
volume = {83},
journal = {Analytical Chemistry},
}
@article{DHS11,
title = {Forecasting time series with complex seasonal patterns using exponential smoothing},
author = {Alysha M {De Livera} and Rob J Hyndman and Ralph D Snyder},
year = 2011,
number = {496},
pages = {1513--1527},
volume = {106},
journal = {J American Statistical Association},
}
@article{FH10b,
title = {The price elasticity of electricity demand in {South Australia}},
author = {Shu Fan and Rob J Hyndman},
year = 2011,
number = {6},
pages = {3709--3719},
volume = {39},
journal = {Energy Policy},
publisher = {Elsevier},
}
@article{usertalk11,
title = {Giving a useR! talk},
author = {Rob J Hyndman},
year = 2011,
number = {1},
pages = {69--71},
volume = {3},
journal = {The R journal},
}
@article{hierarchical,
title = {Optimal combination forecasts for hierarchical time series},
author = {Rob J Hyndman and Roman A Ahmed and George Athanasopoulos and Han Lin Shang},
year = 2011,
number = {9},
pages = {2579--2589},
volume = {55},
journal = {Computational Statistics \& Data Analysis},
publisher = {Citeseer},
}
@article{longrun,
title = {Improved interval estimation of long run response from a dynamic linear model: A highest density region approach},
author = {Jae H Kim and Iain Fraser and Rob J Hyndman},
year = 2011,
number = {8},
pages = {2477--2489},
volume = {55},
institution = {Department of Econometrics \& Business Statistics, Monash University},
journal = {Computational Statistics \& Data Analysis},
publisher = {Elsevier},
}
@article{Pearce10b,
title = {Quantifying the influence of local meteorology on air quality using generalized additive models},
author = {John L Pearce and Jason Beringer and Neville Nicholls and Rob J Hyndman and Nigel J Tapper},
year = 2011,
number = {6},
pages = {1328--1336},
volume = {45},
journal = {Atmospheric Environment},
}
@article{Pearce10a,