2 papers
stat.CO2026
Leveraging Sparsity to Improve No-U-Turn Sampling Efficiency for Hierarchical Bayesian Models
Cole C. Monnahan, Kasper Kristensen, James T. Thorson +1
Analysts routinely use Bayesian hierarchical models to understand natural processes. The no-U-turn sampler (NUTS) is the most widely used algorithm to sample high-dimensional, cont…
stat.ME2024
Why not a thin plate spline for spatial models? A comparative study using Bayesian inference
Joaquin Cavieres, Paula Moraga, Cole C. Monnahan
Spatial modelling often uses Gaussian random fields to capture the stochastic nature of studied phenomena. However, this approach incurs significant computational burdens (O(n3)),…