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Nowcasting unemployment using neural networks and multi-dimensional Google Trends data

Grybauskas, Andrius; Pilinkienė, Vaida; Lukauskas, Mantas - In: Economies : open access journal 11 (2023) 5, pp. 1-23

This article forms an attempt to expand the ability of online search queries to predict initial jobless claims in the United States and further explore the intricacies of Google Trends. In contrast to researchers who used only a small number of search queries or limited themselves to job agency...

Persistent link: https://www.econbiz.de/10014319223

Statistical, machine learning and deep learning forecasting methods : comparisons and ways forward

Makridakis, Spyros G.; Spiliotis, Evangelos; … - In: Journal of the Operational Research Society 74 (2023) 3, pp. 840-859

Persistent link: https://www.econbiz.de/10014332223

Bitcoin forecasting performance measurement : a comparative study of econometric, machine learning and artificial intelligence-based models

Agrawal, Anshul; Mani, Mukta; Varshney, Sakshi - In: Journal of international commerce, economics and policy 14 (2023) 2, pp. 1-18

Persistent link: https://www.econbiz.de/10014365233

Forecasting with Artificial Intelligence : Theory and Applications

Hamoudia, Mohsen (ed.); Makridakis, Spyros G. (ed.); … - 2023

Part I. Artificial intelligence : present and future -- 1. Human intelligence (HI) versus artificial intelligence (AI) and intelligence augmentation (IA) -- 2. Expecting the future: How AI's potential performance will shape current behavior -- Part II. The status of machine learning methods for...