Tag: research
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Dirichlet Process Projections
The blog post explores hierarchical modeling using Dirichlet processes combined with projections onto orthogonal random vectors. The author discusses the challenges of maintaining orthogonality while developing a Bayesian nonparametric framework and introduces a new modeling approach that incorporates dimension changing, MCMC algorithms, and potential applications in function spaces with Gaussian processes as base measures.