CMAF Friday Forecasting Talk: On performance of temporal aggregation in time series forecasting
Friday 25 February 2022, 2:00pm to 3:00pm
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onlineOpen to
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Event Details
CMAF Friday Forecasting Talk
Forecasting algorithms provide a significant opportunity for forecasters to improve their accuracy. However, once people have seen an algorithm err, they are quick to abandon it. This phenomenon is known as ‘algorithm aversion’ (Dietvorst, Simmons, & Massey, 2015). However, recently, Logg, Minson, & Moore (2019) have reported the opposite effect: results from six experiments showed that people preferred the advice of an algorithm over that of a person. The authors termed this ‘algorithm appreciation’. How can these findings be reconciled? The effects of feedback and visual aids versus labels are explored and discussed.
Speaker
Cardiff Business School
Bahman Rostami-Tabar is Associate Professor (Reader) in Management Science at Cardiff Business School, Cardiff University, UK. Bahman holds a Ph.D. in Industrial Engineering from the University of Bordeaux, France. He is the founder of Forecasting for Social Good and Democratising Forecasting initiatives sponsored by the International Institute of Forecasters (You can check out these initiatives at https://www.f4sg.org/). In his research, he has been developing and using forecasting models in he
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Name | Teresa Aldren |
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