Deterministic forecasts#
Single-valued forecasts that carry no explicit uncertainty.
Important
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What it is#
A deterministic forecast outputs a single value for each future point — a point estimate with no uncertainty attached. It is the counterpart of a probabilistic forecast, which predicts a whole distribution; here all the probability sits on one number.
What it hides#
Two deterministic forecasts can agree on the number yet face very different risk, and the value is usually a summary of an implicit distribution — the mean (if fit by minimizing RMSE) or the median (if fit by MAE).
When it’s enough#
It is simple to produce, communicate and act on, and fine when uncertainty is small or irrelevant — but where the cost of being wrong is asymmetric, a probabilistic or quantile forecast conveys far more.
Theme: Risk & Probabilistic Forecasting · All terminology
Hint
Mind map — connected ideas
Point Forecasts · Probabilistic Forecasts · Forecast Error · Quantile Forecasts · Time Series Forecasting · Full Distribution
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More in Risk & Probabilistic Forecasting
Continuous Probabilistic Forecasts · Continuous Ranked Probability Score (CRPS) · Full Distribution · Pinball Loss (a.k.a. Quantile Loss) · Point Forecasts · Predicting Percentiles · Prediction Intervals (PI) · Probabilistic Forecasts · Probabilistic Scoring · Probability Forecasts · Quantile Forecasts · Quantile Level · Quantile Regression · Return Distribution
See also
Source article Adapted (context, re-expressed) in our own words from: Deterministic forecasts (insightful-data-lab.com).