A new class of priors on context trees is defined by node-weighting functions, enabling exact marginal likelihoods and Bayes factors via extensions of CTW and CTM algorithms.
Prune the sub-tree belowrif f(r)≥ m−1Y k=0 ΥF (kr); Otherwise continue the same test for each childkr,k= 0, . . . , m−1
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Context Tree Prior Distributions based on Node Weighting with exact Bayes Factors
A new class of priors on context trees is defined by node-weighting functions, enabling exact marginal likelihoods and Bayes factors via extensions of CTW and CTM algorithms.