Работы, цитирующие эту работу

Работ: 2

Работа: Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations

1. Quantifying key vegetation parameters from Sentinel-3 and MODIS over the eastern Eurasian steppe with a Bayesian geostatistical model

   Zhenwang Li, Lei Ding, Beibei Shen +11

   СтатьяRemote Sensing in AgricultureThe Science of The Total Environment2023Цитирований: 0

   ABIABI:AkademIndex/openalex/2023.article.000725

2. Evaluation of the Impact of Local Topographies on Japanese Larch and Hybrid Larch F<sub>1</sub> Mortality Caused by <i>Armillaria</i> Root Rot

   Hisayuki Wada, Wataru Ishizuka, Fumio Takeuchi +3

   СтатьяNematode management and characterization studiesJournal of the Japanese Forest Society2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.007949