Estimating Bayesian Diagnostic Models with Attribute Hierarchies with the Hamiltonian-Gibbs Hybrid Sampler
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DOI: 10.1080/00273171.2022.2160950
Abstract: Bayesian estimation of diagnostic models (B-DMs) has grown in popularity in recent years. Common estimation approaches for B-DMs include Gibbs sampling (GS), Metropolis–Hastings, and Hamiltonian Monte Carlo (HMC). The latter has been lauded for its… read more here.
Keywords: diagnostic models; sampler; parameter recovery; gibbs ... See more keywords
Developing Diameter Distribution Models of Major Coniferous Species in South Korea
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DOI: 10.3390/f16060961
Abstract: This study developed diameter distribution models using the Weibull function for Korean red pine (Pinus densiflora), Korean white pine (P. koraiensis), and Japanese larch (Larix kaempferi). The study data were collected from 49 Korean red… read more here.
Keywords: parameter recovery; method; diameter distribution;