| 书目名称 | Predicting the Future |
| 副标题 | Completing Models of |
| 编辑 | Henry Abarbanel |
| 视频video | |
| 概述 | Formulates long standing state and parameter estimation problems.Explores numerous examples drawn from a broad interdisciplinary collection of scholarly subjects.Proposes a universal approach with pra |
| 丛书名称 | Understanding Complex Systems |
| 图书封面 |  |
| 描述 | Through the development of an exact path integral for use in transferring information from observations to a model of the observed system, the author provides a general framework for the discussion of model building and evaluation across disciplines. Through many illustrative examples drawn from models in neuroscience, geosciences, and nonlinear electrical circuits, the concepts are exemplified in detail. Practical numerical methods for approximate evaluations of the path integral are explored, and their use in designing experiments and determining a model’s consistency with observations is explored. |
| 出版日期 | Book 2013 |
| 关键词 | Data assimilation challenges; Dynamical state and parameter estimation; Evaluation of path integrals; M |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4614-7218-6 |
| isbn_softcover | 978-1-4939-5238-0 |
| isbn_ebook | 978-1-4614-7218-6Series ISSN 1860-0832 Series E-ISSN 1860-0840 |
| issn_series | 1860-0832 |
| copyright | Springer Science+Business Media New York 2013 |
发表于 2025-3-21 17:40:17
