SmoothPrior
SmoothPrior#
- class liesel.tfp.jax.distributions.smooth_prior.SmoothPrior(tau2, K, rank=None, validate_args=False, allow_nan_stats=True, name='SmoothPrior')[source]#
Bases:
tensorflow_probability.substrates.jax.distributions.distribution.Distribution
A (potentially rank-deficient) normal smooth prior for semi-parametric regression.
See Ludwig Fahrmeir et al., [Regression (2013), Section 8.1.3]( https://link.springer.com/book/10.1007/978-3-642-34333-9) for details.
Methods
This section is empty if this class has only inherited attributes.