Bayesian Modeling of Time Series Data (BayModTS)
收藏DaRUS2024-06-04 更新2026-04-16 收录
下载链接：
https://darus.uni-stuttgart.de/citation?persistentId=doi:10.18419/darus-3876
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资源简介：
BayModTS is a FAIR workflow for processing highly variable and sparse data. The code and results of the examples in the BayModTS paper are stored in this repository. A maintained version of BayModTS that can be applied to your personal applications can be found on Git Hub.
提供机构：
Universität Stuttgart
创建时间：
2024-01-01
