Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model

Research article (International Journal of Forecasting, 2022) · cited 27× · AI/ML
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Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model

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Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model. Retrieved May 24, 2026, from https://4ort.xyz/entity/nowcasting-growth-using-google-trends-data-a-bayesian-structural-time-series-model
MLA “Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/nowcasting-growth-using-google-trends-data-a-bayesian-structural-time-series-model.
BibTeX @misc{4ortxyz_nowcasting-growth-using-google-trends-data-a-bayesian-structural-time-series-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model}}, year = {2026}, url = {https://4ort.xyz/entity/nowcasting-growth-using-google-trends-data-a-bayesian-structural-time-series-model}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model — https://4ort.xyz/entity/nowcasting-growth-using-google-trends-data-a-bayesian-structural-time-series-model (retrieved 2026-05-24)

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