A posterior density is the density of a posterior distribution with respect to a chosen reference measure.
The log-posterior is the logarithm of a positive posterior density. Its gradient is the posterior score control variate when boundary terms vanish. An additive constant independent of the parameter does not affect optimization or differentiation.
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- Bayesian posterior
- Continuous spike-and-slab prior
- Credible interval
- Gaussian practical-null mixture
- Joint posterior of mutation rate and coalescent times
- Kalman filter
- Log-posterior
- Normal-gamma posterior with a flat prior
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- Poisson change-point posterior
- Posterior mean from adjacent mixed Poisson probabilities
- Posterior score control variate
- Variational inference
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