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Method evidence record

Prophet

Prophet is a Bayesian structural time series model introduced by Taylor and Letham at Facebook/Meta in 2018. It forecasts a continuous series by decomposing it into separate, interpretable trend, seasonality, and holiday components, and is designed to be approachable for analysts working at scale.

Evidence statusSources recorded, not reviewedBibliographic sources are present. Claim-level evidence review has not been performed.

Source record

Recorded

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Prophet Decomposable Time Series Forecasting Model

Taxonomic method recordregression-modeleconometrics

  1. Taylor, S. J. & Letham, B. (2018). Forecasting at Scale. The American Statistician, 72(1), 37-45. · DOI 10.1080/00031305.2017.1380080

  2. Taylor, S. J. & Letham, B. (2017). Prophet: Forecasting at Scale [Software]. Facebook/Meta. · URL

Open full method2 recorded citations, copied from the method source record.

Curated claims

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Related methods

Suggested5

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