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Time series are data observed over time (either in continuous time or at discrete time periods).

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How to forecast time-series bounded by [0,1], i.e., forecast relative frequencies?

Prof. Hyndman points out this approach in his comment above: "...trans­form the data using a scaled logit trans­form which maps (a,b) to the whole real line: $$y = \log\left(\frac{x-a}{b-x}\right)$ …
Brian D'Astous's user avatar
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How to forecast time-series bounded by [0,1], i.e., forecast relative frequencies?

I am working with time series values which are all in the closed interval [0, 1]; these values represent relative frequencies, i.e., empirical probabilities. I would like to create a model such that a …
Brian D'Astous's user avatar