In PyMC, models are defined within a with pm.Model() as model: context manager. A standard linear regression model ( ) is broken down into three main components:
After sampling, you analyze the results to understand parameter uncertainty.
PyMC supports more complex regression structures beyond simple linear models: GLM: Linear regression — PyMC dev documentation
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In PyMC, models are defined within a with pm.Model() as model: context manager. A standard linear regression model ( ) is broken down into three main components:
After sampling, you analyze the results to understand parameter uncertainty.
PyMC supports more complex regression structures beyond simple linear models: GLM: Linear regression — PyMC dev documentation
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