Forecasting¶
Hyndman, R. J., & Athanasopoulos, G. (2018). Forecasting: Principles and Practice.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Recurrence
- Periodicity specifies recurrence at fixed, regular intervals (daily, weekly, annual); recurrence allows variable intervals governed by state transitions or external triggers, a separation Hyndman and Athanasopoulos (2018) treat operationally when they distinguish strict seasonality from cyclic behavior in forecasting.
This sourceOTexts. Standard applied forecasting reference: explicitly distinguishes seasonality (fixed-period recurrence) from cyclic behavior (variable-interval recurrence governed by state and triggers).
- Periodicity specifies recurrence at fixed, regular intervals (daily, weekly, annual); recurrence allows variable intervals governed by state transitions or external triggers, a separation Hyndman and Athanasopoulos (2018) treat operationally when they distinguish strict seasonality from cyclic behavior in forecasting.
Mechanisms¶
- Simple Baseline Model
- Its strength is killing the reflex that complexity equals quality: a cheap, interpretable, always-available floor means no sophisticated model gets credit for beating nothing.
This sourcePresents simple naïve forecasting methods as benchmarks against which more sophisticated methods should be evaluated.
- Its strength is killing the reflex that complexity equals quality: a cheap, interpretable, always-available floor means no sophisticated model gets credit for beating nothing.
Verification¶
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Does it back the claim? Not recorded. Neither this nor any other of the 2 citations of this work carries a recorded support check.
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Registry ID ref:f28b4393f642 · see in the full table