Pages that link to "Item:Q5085048"
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The following pages link to Sampling hyperparameters in hierarchical models: Improving on Gibbs for high-dimensional latent fields and large datasets (Q5085048):
Displaying 4 items.
- Randomized reduced forward models for efficient Metropolis-Hastings MCMC, with application to subsurface fluid flow and capacitance tomography (Q2023287) (← links)
- Approximation and sampling of multivariate probability distributions in the tensor train decomposition (Q2302512) (← links)
- A Gibbs sampler for learning DAG: a unification for discrete and Gaussian domains (Q3389643) (← links)
- The Efficiency of Next-Generation Gibbs-Type Samplers: An Illustration Using a Hierarchical Model in Cosmology (Q5283095) (← links)