All examples have first prototype versions. This requires getting help as follows:

• [JAR + Marco] variational inference on a toy Bayesian linear regression example, with a naive mean field approximation, using reverse-mode AD
• [JAR + Marco] HMM forward filtering + backward sampling, on a real-world example
• [JAR + VKM] defining an SMC meta-program for the HMM example from Marco
• [JAR + VKM] defining a test of MH to infer which proposals are probably accepted and rejected, and a figure that shows it