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International Journal of Forecasting|January 17, 2022
A flexible framework for intervention analysis applied to credit-card usage during the coronavirus pandemicAnson T Y Ho, Lealand Morin, Harry J Paarsch, et al.International Journal of Forecasting|February 21, 2022
Forecasting the Covid-19 recession and recovery: Lessons from the financial crisisClaudia Foroni, Massimiliano Marcellino, Dalibor StevanovicInternational Journal of Forecasting|January 24, 2022
The COVID-19 shock and challenges for inflation modellingElena Bobeica, Benny HartwigInternational Journal of Forecasting|August 25, 2020
Preventing rather than punishing: An early warning model of malfeasance in public procurementJorge Gallego, Gonzalo Rivero, Juan MartínezInternational Journal of Forecasting|December 23, 2014
Testing the Value of Probability Forecasts for Calibrated CombiningKajal Lahiri, Huaming Peng, Yongchen ZhaoInternational Journal of Forecasting|October 26, 2020
On single point forecasts for fat-tailed variablesNassim Nicholas Taleb, Yaneer Bar-Yam, Pasquale CirilloInternational Journal of Forecasting|January 1, 1988
Confidence intervals for population projections based on Monte Carlo methodsP PflaumerInternational Journal of Forecasting|March 1, 1992
Population, labour force and unemployment in Andalusia: prospects for 1993J M Otero, G Martin, F Trujillo, et al.International Journal of Forecasting|September 27, 2002
Combining probabilistic and subjective assessments of error to provide realistic appraisals of demographic forecast uncertainty: Alho's approachL R CarterInternational Journal of Forecasting|September 26, 2002
Further thoughts on simplicity and complexity in population projection modelsS K SmithPageof 5