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	Prophet	संरचनात्मक समय श्रृंखला मॉडल (मूल संरचनात्मक मॉडल)
क्षेत्र	अर्थमिति	अर्थमिति
परिवार	Regression model	Regression model
उद्भव वर्ष	2018	1990
प्रवर्तक	Taylor & Letham (Facebook/Meta)	Andrew C. Harvey
प्रकार	Decomposable (structural) time series model	State-space (unobserved components) time series model
मौलिक स्रोत	Taylor, S. J. & Letham, B. (2018). Forecasting at Scale. The American Statistician, 72(1), 37-45.	Harvey, A. C. (1990). Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge University Press. ISBN: 978-0521405737
उपनाम	Prophet, Facebook Prophet, Meta Prophet, forecasting at scale	BSM, basic structural model, unobserved components model, Yapısal Zaman Serisi Modeli (BSM)
संबंधित	5	4
सारांश	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.	The Structural Time Series Model, in its Basic Structural Model (BSM) form, is Andrew Harvey's state-space approach that decomposes a series into separate stochastic trend, seasonal, cyclical, and irregular components. Developed in Harvey's 1990 treatment, it is prized for interpretability and component decomposition where ARIMA only delivers a black-box fit.