14 citations · 36 across the 16 of their papers we have counts for
5 papers · 1 filter
A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets
Benjamin Seiyon Lee, Jaewoo Park
Nonstationary non-Gaussian spatial data are common in many disciplines, including climate science, ecology, epidemiology, and social sciences. Examples include count data on diseas…
Bayesian Indirect Inference for Models with Intractable Normalizing Functions
Jaewoo Park
Inference for doubly intractable distributions is challenging because the intractable normalizing functions of these models include parameters of interest. Previous auxiliary varia…
Reduced-dimensional Monte Carlo Maximum Likelihood for Latent Gaussian Random Field Models
Jaewoo Park, Murali Haran
Monte Carlo maximum likelihood (MCML) provides an elegant approach to find maximum likelihood estimators (MLEs) for latent variable models. However, MCML algorithms are computation…
A Function Emulation Approach for Doubly Intractable Distributions
Jaewoo Park, Murali Haran
Doubly intractable distributions arise in many settings, for example in Markov models for point processes and exponential random graph models for networks. Bayesian inference for t…
Bayesian Inference in the Presence of Intractable Normalizing Functions
Jaewoo Park, Murali Haran
Models with intractable normalizing functions arise frequently in statistics. Common examples of such models include exponential random graph models for social networks and Markov…