Bayesian (after Thomas Bayes) refers to methods in probability and statistics that involve quantifying uncertainty about parameter or latent variable estimates by incorporating both prior and observed information.
This is why I'm asking this question: Last year I made some C++ code to compute posterior probabilities for a …
python bayesian bayesian-networksI'm looking for an Open Source Naïve Bayes Classifier library written in Java. Would appreciate any help in finding …
java open-source bayesian classification bayesian-networksI performed a MCMCglmm (MCMCglmm package). Here is the summary of this model Iterations = 3001:12991 Thinning interval = 10 Sample size = 1000 DIC: 211.0108 G-structure: ~…
r statistics linear-regression bayesianDoes anybody know of a working code example of the sum-product algorithm for (loopy) belief for Bayesian Networks? I have …
bayesianI'm starting to learn Stan. Could anyone explain when and how to use syntax such as... ? target += instead of just: …
bayesian stanI am collecting a lot of really interesting data points as users come to my Python web service. For example, …
python machine-learning couchdb bayesian cloudantI have a system where people can up vote or down vote an item and I want to display the …
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