275 citations · 410 across the 25 of their papers we have counts for
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stat.CO2019
PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models
Ben Seiyon Lee, Murali Haran
Hierarchical spatial models are very flexible and popular for a vast array of applications in areas such as ecology, social science, public health, and atmospheric science. It is c…
stat.CO2019
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…