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机译:具有空间变量选择的贝叶斯分层模型:天气对保险索赔的影响
University of Oslo and Norwegian Computing Center, Oslo, Norway,Department of Mathematics, University of Oslo, PO Box 1053 Blin- dern, 0316 Oslo, Norway;
Norwegian Computing Center, Oslo, Norway;
University of Oslo and Norwegian Computing Center, Oslo, Norway;
Norwegian Computing Center, Oslo, Norway and Mikkel Hinnerichsen and Elisabeth Meze-Hausken Gjensidige, Oslo, Norway;
bayesian poisson hurdle; climate change; generalized linear models; hierarchical models; spatial variable selection; zero-altered poisson model;
机译:贝叶斯空间模型下空间潜变量的变量选择
机译:分层贝叶斯空间模型,用于使用波形LiDAR,高光谱图像和大型清单数据集预测多个森林变量
机译:小区健康建模的贝叶斯空间依赖变量选择
机译:一个分层贝叶斯模型,以预测在保险中报告的索赔
机译:贝叶斯分层空间模型可通过“光检测”和“测距”数据集改善森林变量的预测和映射。
机译:具有空间变量选择的贝叶斯分层模型:天气对保险索赔的影响
机译:贝叶斯混合层次空间模型下空间随机场预测的变量选择