Spatial correlation in weather forecast accuracy: a functional time series approach
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DOI: 10.1007/s00180-023-01338-4
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- Alexander Aue & Lajos Horváth & Daniel F. Pellatt, 2017.
"Functional Generalized Autoregressive Conditional Heteroskedasticity,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 38(1), pages 3-21, January.
- Aue, Alexander & Horvath, Lajos & Pellatt, Daniel, 2015. "Functional generalized autoregressive conditional heteroskedasticity," MPRA Paper 67702, University Library of Munich, Germany.
- Rob Hyndman & Heather Booth & Farah Yasmeen, 2013.
"Coherent Mortality Forecasting: The Product-Ratio Method With Functional Time Series Models,"
Demography, Springer;Population Association of America (PAA), vol. 50(1), pages 261-283, February.
- Rob J Hyndman & Heather Booth & Farah Yasmeen, 2011. "Coherent mortality forecasting: the product-ratio method with functional time series models," Monash Econometrics and Business Statistics Working Papers 1/11, Monash University, Department of Econometrics and Business Statistics.
- Rob J Hyndman & Heather Booth & Farah Yasmeen, 2011. "Coherent Mortality Forecasting The Product-ratio Method with Functional Time Series Models," Working Papers 201116, ARC Centre of Excellence in Population Ageing Research (CEPAR), Australian School of Business, University of New South Wales.
- Han Lin Shang & Heather Booth & Rob Hyndman, 2011. "Point and interval forecasts of mortality rates and life expectancy: A comparison of ten principal component methods," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 25(5), pages 173-214.
- Hyndman, Rob J. & Booth, Heather, 2008.
"Stochastic population forecasts using functional data models for mortality, fertility and migration,"
International Journal of Forecasting, Elsevier, vol. 24(3), pages 323-342.
- Rob J Hyndman & Heather Booth, 2006. "Stochastic population forecasts using functional data models for mortality, fertility and migration," Monash Econometrics and Business Statistics Working Papers 14/06, Monash University, Department of Econometrics and Business Statistics.
- Daniel R. Kowal & David S. Matteson & David Ruppert, 2019. "Functional Autoregression for Sparsely Sampled Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(1), pages 97-109, January.
- Daniel R. Kowal & David S. Matteson & David Ruppert, 2017. "A Bayesian Multivariate Functional Dynamic Linear Model," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 733-744, April.
- Hyndman, Rob J. & Shahid Ullah, Md., 2007.
"Robust forecasting of mortality and fertility rates: A functional data approach,"
Computational Statistics & Data Analysis, Elsevier, vol. 51(10), pages 4942-4956, June.
- Rob J. Hyndman & Md. Shahid Ullah, 2005. "Robust forecasting of mortality and fertility rates: a functional data approach," Monash Econometrics and Business Statistics Working Papers 2/05, Monash University, Department of Econometrics and Business Statistics.
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Cited by:
- Mine Cetinkaya-Rundel & Wendy Martinez, 2023. "The 2018 data challenge expo of the American statistical association," Computational Statistics, Springer, vol. 38(3), pages 1117-1122, September.
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Keywords
Functional data analysis; Spatiotemporal; Random effects; GARCH; Weather forecast data; Data Expo 2018;All these keywords.
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