Reparameterization and Change of Variables

Stan supports a direct encoding of reparameterizations. Stan also supports changes of variables by directly incrementing the log probability accumulator with the log Jacobian of the transform. Theoretical and practical background A Bayesian posterior is technically a probability measure, which is a parameterization-invariant, abstract mathematical object.1 Stan’s modeling language, on the other ha

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再パラメータ化