Performance and Robustness of the Monte Carlo Importance Sampling Algorithm Using Parallelized S-ADAPT for Basic and Complex Mechanistic Models

标题
Performance and Robustness of the Monte Carlo Importance Sampling Algorithm Using Parallelized S-ADAPT for Basic and Complex Mechanistic Models
作者
关键词
-
出版物
AAPS Journal
Volume 13, Issue 2, Pages 212-226
出版商
American Association of Pharmaceutical Scientists (AAPS)
发表日期
2011-03-05
DOI
10.1208/s12248-011-9258-9

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