Forecasting with temporal hierarchies von Athanasopoulos, George, Hyndman, Rob J., Kourentzes, Nikolaos, Petropoulos, Fotios

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Optimal Forecast Reconciliation for Hierarchical and Grouped Time Series Through Trace Minimization von Wickramasuriya, Shanika L., Athanasopoulos, George, Hyndman, Rob J.

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Bagging exponential smoothing methods using STL decomposition and Box–Cox transformation von Bergmeir, Christoph, Hyndman, Rob J., Benítez, José M.

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Meta‐learning how to forecast time series von Talagala, Thiyanga S., Hyndman, Rob J., Athanasopoulos, George

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The price elasticity of electricity demand in South Australia von Fan, Shu, Hyndman, Rob J.

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Fast computation of reconciled forecasts for hierarchical and grouped time series von Hyndman, Rob J., Lee, Alan J., Wang, Earo

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Another look at measures of forecast accuracy von Hyndman, Rob J., Koehler, Anne B.

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Optimal combination forecasts for hierarchical time series von Hyndman, Rob J., Ahmed, Roman A., Athanasopoulos, George, Shang, Han Lin

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Robust forecasting of mortality and fertility rates: A functional data approach von Hyndman, Rob J., Shahid Ullah, Md

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Associations between outdoor fungal spores and childhood and adolescent asthma hospitalizations von Tham, Rachel, MPH, MHSc, Vicendese, Don, PhD, Dharmage, Shyamali C., PhD, Hyndman, Rob J., PhD, Newbigin, Ed, PhD, Lewis, Emma, MSc, O'Sullivan, Molly, B Appl Sc (Hons), Lowe, Adrian J., PhD, Taylor, Philip, PhD, Bardin, Philip, PhD, Tang, Mimi L.K., PhD, Abramson, Michael J., PhD, Erbas, Bircan, PhD

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Early classification of spatio-temporal events using partial information von Kandanaarachchi, Sevvandi, Hyndman, Rob J., Smith-Miles, Kate

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Principles and algorithms for forecasting groups of time series: Locality and globality von Montero-Manso, Pablo, Hyndman, Rob J.

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A brief history of forecasting competitions von Hyndman, Rob J.

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Understanding links between water-quality variables and nitrate concentration in freshwater streams using high frequency sensor data von Kermorvant, Claire, Liquet, Benoit, Litt, Guy, Mengersen, Kerrie, Peterson, Erin E, Hyndman, Rob J, Jones, Jr, Jeremy B, Leigh, Catherine

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Predicting sediment and nutrient concentrations from high-frequency water-quality data von Leigh, Catherine, Kandanaarachchi, Sevvandi, McGree, James M, Hyndman, Rob J, Alsibai, Omar, Mengersen, Kerrie, Peterson, Erin E

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Exploring the sources of uncertainty: Why does bagging for time series forecasting work? von Petropoulos, Fotios, Hyndman, Rob J., Bergmeir, Christoph

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Hierarchical forecasts for Australian domestic tourism von Athanasopoulos, George, Ahmed, Roman A., Hyndman, Rob J.

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A note on the validity of cross-validation for evaluating autoregressive time series prediction von Bergmeir, Christoph, Hyndman, Rob J., Koo, Bonsoo

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Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond von Hong, Tao, Pinson, Pierre, Fan, Shu, Zareipour, Hamidreza, Troccoli, Alberto, Hyndman, Rob J.

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Forecasting COVID-19 activity in Australia to support pandemic response: May to October 2020 von Moss, Robert, Price, David J., Golding, Nick, Dawson, Peter, McVernon, Jodie, Hyndman, Rob J., Shearer, Freya M., McCaw, James M.

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