Bokgyeong Kang

Divide-and-Conquer Neural Bayes Estimation for Spatial and Spatiotemporal Point Process Models

Spatial and spatiotemporal point process models are widely used to analyze event data across many scientific disciplines, but likelihood-based Bayesian inference is often computationally prohibitive due to intractable likelihoods, high-dimensional latent structures, and dependence on event history. Existing approximate...