EXERT
发表于 2025-3-21 19:11:27
书目名称Bayesian Spatial Modelling with Conjugate Prior Models影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0192628<br><br> <br><br>书目名称Bayesian Spatial Modelling with Conjugate Prior Models影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0192628<br><br> <br><br>书目名称Bayesian Spatial Modelling with Conjugate Prior Models网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0192628<br><br> <br><br>书目名称Bayesian Spatial Modelling with Conjugate Prior Models网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0192628<br><br> <br><br>书目名称Bayesian Spatial Modelling with Conjugate Prior Models被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0192628<br><br> <br><br>书目名称Bayesian Spatial Modelling with Conjugate Prior Models被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0192628<br><br> <br><br>书目名称Bayesian Spatial Modelling with Conjugate Prior Models年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0192628<br><br> <br><br>书目名称Bayesian Spatial Modelling with Conjugate Prior Models年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0192628<br><br> <br><br>书目名称Bayesian Spatial Modelling with Conjugate Prior Models读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0192628<br><br> <br><br>书目名称Bayesian Spatial Modelling with Conjugate Prior Models读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0192628<br><br> <br><br>
Shuttle
发表于 2025-3-21 21:55:40
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鸣叫
发表于 2025-3-22 03:41:27
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debase
发表于 2025-3-22 05:16:48
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ZEST
发表于 2025-3-22 10:58:49
Metaheuristics for Vehicle Routing Problems,saic variables, respectively. For each of these prior models, detailed discussions of their parametrisations and characteristics are presented. We discuss topics specifically related to each prior model and present prior models based on hierarchical versions of the random fields under study. The running examples are continued.
dry-eye
发表于 2025-3-22 13:37:30
Lecture Notes in Computer Science book. This exposure facilitates the understanding of the basic concepts and the ability to compare them. Topics discussed include classes of simulation algorithms, geostatistical models, Gaussian Markov random fields, basis function models, functional predictors and the integrated nested Laplace approximations.
Nuance
发表于 2025-3-22 19:37:52
https://doi.org/10.1007/978-3-031-65418-3Spatial Statistics; Bayesian Modelling; Conjugate Bayesian Models; Spatial Simulation and Prediction; Sp
Detain
发表于 2025-3-22 21:16:19
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exclamation
发表于 2025-3-23 04:20:34
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大暴雨
发表于 2025-3-23 09:32:24
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