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causalpy/pymc_models.py

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@@ -784,7 +784,7 @@ class BayesianBasisExpansionTimeSeries(PyMCModel):
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\text{seasonality} &\sim \text{YearlyFourier}(...) \\
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\beta &\sim \mathrm{Normal}(0, \sigma_{\beta}) \quad \text{(if X is provided)} \\
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\sigma &\sim \mathrm{HalfNormal}(\sigma_{err}) \\
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\mu &= \text{trend_component} + \text{seasonality_component} [+ X \cdot \beta] \\
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\mu &= \text{trend_component} + \text{seasonality_component} + X \cdot \beta \quad \text{(if X is provided)} \\
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y &\sim \mathrm{Normal}(\mu, \sigma)
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