Model Perspective
Aug 23, 2022 · Fundamentals
How Prophet Implements Time Series Decomposition and Trend Modeling
This article explains Prophet’s algorithmic approach to time‑series forecasting, covering decomposition into trend, seasonality, holidays and error components, logistic and piecewise linear trend models, automatic change‑point detection, Fourier‑based seasonality, holiday handling, model fitting with PyStan, and practical Python code examples.
Prophetholiday effectspython
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