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1 parent 57e6fa0 commit 7aded04Copy full SHA for 7aded04
bayesml/normal/__init__.py
@@ -66,7 +66,7 @@
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m_n &= \frac{\kappa_0 m_0 + n \bar{x}}{\kappa_0 + n}, \\
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\kappa_n &= \kappa_0 + n, \\
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\alpha_n &= \alpha_0 + \frac{n}{2}, \\
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- \beta_n &= \beta_0 + \frac{1}{2} \left( \sum_{i=1}^n (x_i - \bar{x})^2 + \frac{\kappa_0 n}{\kappa_n + n} (\bar{x} - m_0)^2 \right).
+ \beta_n &= \beta_0 + \frac{1}{2} \left( \sum_{i=1}^n (x_i - \bar{x})^2 + \frac{\kappa_0 n}{\kappa_0 + n} (\bar{x} - m_0)^2 \right).
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The predictive distribution is as follows:
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