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searching for Marginal likelihood 8 found (33 total)

alternate case: marginal likelihood

Generalized additive model (5,716 words) [view diff] case mismatch in snippet view article find links to article

information criterion (AIC). Finally we may choose to maximize the Marginal Likelihood (REML) obtained by integrating the model coefficients, β {\displaystyle
Siddhartha Chib (2,033 words) [view diff] exact match in snippet view article find links to article
calculating the marginal likelihood for Bayesian model comparisons. The method relies on an identity that expresses the marginal likelihood as the product
Relevance vector machine (425 words) [view diff] case mismatch in snippet view article find links to article
Research. 1: 211–244. Tipping, Michael; Faul, Anita (2003). "Fast Marginal Likelihood Maximisation for Sparse Bayesian Models". Proceedings of the Ninth
Kernel methods for vector output (4,220 words) [view diff] exact match in snippet view article find links to article
solution for the posterior distribution or for the marginal likelihood. However, the marginal likelihood can be approximated under a Laplace, variational
Smoothing spline (2,314 words) [view diff] exact match in snippet view article find links to article
often estimated by generalized cross-validation, or by restricted marginal likelihood (REML)[citation needed] which exploits the link between spline smoothing
Comparison of Gaussian process software (1,681 words) [view diff] exact match in snippet view article find links to article
"Manually", the software provides an interface for computing the marginal likelihood and its gradient w.r.t. hyperparameters, which can be feed into an
Dynamic causal modeling (3,917 words) [view diff] exact match in snippet view article find links to article
Laplace assumption. This provides two useful quantities: the log marginal likelihood or model evidence ln ⁡ p ( y | m ) {\displaystyle \ln {p(y|m)}} is
German tank problem (6,376 words) [view diff] exact match in snippet view article find links to article
more than this, potentially many more, but cannot be fewer. The marginal likelihood (i.e. marginalized over all models) is infinite, being a tail of