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A Bayesian Approach to Estimating Seemingly Unrelated Regression for Tree Biomass Model Systems
Bayesian approaches seemingly unrelated regression Korean larch Markov chain Monte Carlo Gibbs sampler
2024/1/19
Accurate estimation of tree biomass is required for accounting for and monitoring forest carbon stocking. Allometric biomass equations constructed by classical statistical methods are widely used to p...
Spatial confounding in Bayesian species distribution modeling
estimation bias Gaussian process spatial confounding spatial random effect species distribution model
2023/11/20
Species distribution models (SDMs) are currently the main tools to derive species niche estimates and spatially explicit predictions for species geographical distribution. However, unobserved environm...
Modelling of tree diameter growth using growth functions parameterised by least squares and Bayesian methods
growth function nonlinear least squares Bayes diameter estimation
2015/4/14
The purpose of this paper is to present a new growth and yield function (denoted as KM-function), which was empirically derived from the cumulative density function of the Kumaraswamy probability dist...