| 书目名称 | Identifiability and Regression Analysis of Biological Systems Models |
| 副标题 | Statistical and Math |
| 编辑 | Paola Lecca |
| 视频video | |
| 概述 | Presents techniques for the identifiability analysis and standard and robust regression analysis of dynamical models.Includes a wealth of real-world examples.Provides exercises and R codes that are es |
| 丛书名称 | SpringerBriefs in Statistics |
| 图书封面 |  |
| 描述 | .This richly illustrated book presents the latest techniques for the identifiability analysis and standard and robust regression analysis of complex dynamical models, and looks at their objectives. It begins by providing a definition of complexity in dynamic systems, introducing the concepts of system size, density of interactions, stiff dynamics, and the hybrid nature of determination. The discussion then turns to the mathematical foundations of model structural and practical identifiability analysis, multilinear and non-linear regression analysis, and best predictor selection, and their algorithmic procedures...Although the featured examples mainly focus on applications to biochemistry and systems biology, the methodologies described can also be employed in other disciplines such as physics and the environmental sciences. Readers will learn how to determine identifiability conditions, how to search for an identifiable model, and how to conduct their own regression analysis and diagnostics without supervision...This new edition includes a concise, yet comprehensive treatment of the main artificial intelligence methods which can be used for parameter inference in models of complex |
| 出版日期 | Book 2024Latest edition |
| 关键词 | Model Identifiability; Regression Analysis; Stiff Dynamics; Non-Linear Dynamics; Parameter Inference; Sel |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-3-031-74748-9 |
| isbn_softcover | 978-3-031-74747-2 |
| isbn_ebook | 978-3-031-74748-9Series ISSN 2191-544X Series E-ISSN 2191-5458 |
| issn_series | 2191-544X |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 19:44:35
