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Aimefournier (talk | contribs) m →Linear predictor: imply that x₀ = 1 by definition. |
Aimefournier (talk | contribs) m →As a set of independent binary regressions: Clarify that k = 0 is not included. |
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Line 63:
: <math>
\ln \frac{\Pr(Y_i=k)}{\Pr(Y_i=K)} \,=\, \boldsymbol\beta_k \cdot \mathbf{X}_i, \;\;\;\;
</math>.
Line 71:
: <math>
\Pr(Y_i=k) \,=\, {\Pr(Y_i=K)}\;e^{\boldsymbol\beta_k \cdot \mathbf{X}_i}, \;\;\;\;
</math>
Line 86:
:<math>
\Pr(Y_i=k) = \frac{e^{\boldsymbol\beta_k \cdot \mathbf{X}_i}}{1 + \sum_{j=1}^{K-1} e^{\boldsymbol\beta_j \cdot \mathbf{X}_i}}, \;\;\;\;
</math>.
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