Bayesian Hierarchical Modeling for Variance Estimation in Biopharmaceutical Processes
Determining process variances in biopharmaceutical manufacturing is challenging due to limited data availability. To address this, we introduce a Bayesian hierarchical model designed for meta-analysis of process variance. This approach can improve process variance estimation by integrating data from...
| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
MDPI AG
2025-02-01
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| シリーズ: | Bioengineering |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2306-5354/12/2/193 |