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1 parent 43f8d3d commit d62d484Copy full SHA for d62d484
docs/notebooks/linear_gaussian_ssm/kf_linreg.ipynb
@@ -10,7 +10,7 @@
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"\n",
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"We perform sequential (recursive) Bayesian inference for the parameters of a linear regression model\n",
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"using the Kalman filter. (This algorithm is also known as recursive least squares.)\n",
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- "To do this, we treat the parameers of the model as the unknown hidden states.\n",
+ "To do this, we treat the parameters of the model as the unknown hidden states.\n",
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"We assume that these are constant over time.\n",
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"The graphical model is shown below.\n",
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