Add stuff from overleaf `Bayesian Tricks`

[luiarthur]

• Port content from overleaf
• Add an example of posterior of MvNormal mean (special case of linear model, where X == I.
• add Jacobians for common transformations
• Sherman Woodbury Morrison
• kriging formula
• GP, MvGP, predictive process, RBF regression
• kernel regression
• g prior
  • Gibbs
  • VI
  • SWM (and determinant version) when marginalizing over beta. The sigma marginal posterior is available as IG. Can also integrate out sigma to get evidence.
  • optionally put Gamma prior on Tau. beta ~ MvNormal(0, inv(X'X)s^2/tau
  • BASS
  • trees with basis matrix
  • evolution of basis functions