jmm34/computo-local-tree-methods-for-classification Fork of computorg/template-computo-R

Material associated to the publication project on local trees methods for classification

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jmm34/uncertainty-quantification-for-marginal-computations

We highlight the link between the Bridge sampling method and the noise-contrastive strategy and show how to skillfully use the Weighted Likelihood Bootstrap technique to evaluate the associated error

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jmm34/Compatible-Model-Selection

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jmm34/abc-rf-param

Some R codes associated to the paper: ABC random forests for Bayesian parameter inference

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jmm34/jmm34.github.io

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jmm34/published-202312-cleynen-local Fork of computorg/published-202312-cleynen-local

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jmm34/abcrf

Approximate Bayesian Computation via Random Forests

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jmm34/bayess

Bayesian Essentials with R

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