Bayesian Scientific Computing
The once esoteric idea of embedding scientific computing into a probabilistic framework, mostly along the lines of the Bayesian paradigm, has recently enjoyed wide popularity and found its way into numerous applications. This book provides an insider’s view of how to combine two mature fields, scien...
محفوظ في:
| المؤلفون الرئيسيون: | , |
|---|---|
| مؤلف مشترك: | |
| التنسيق: | الكتروني كتاب الكتروني |
| اللغة: | الإنجليزية |
| منشور في: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| الطبعة: | 1st ed. 2023. |
| سلاسل: | Applied Mathematical Sciences,
215 |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1007/978-3-031-23824-6 |
| الوسوم: |
إضافة وسم
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جدول المحتويات:
- Inverse problems and subjective computing
- Linear algebra
- Continuous and discrete multivariate distributions
- Introduction to sampling
- The praise of ignorance: randomness as lack of certainty
- Enter subject: Construction of priors
- Posterior densities, ill-conditioning, and classical regularization
- Conditional Gaussian densities
- Iterative linear solvers and priorconditioners
- Hierarchical models and Bayesian sparsity
- Sampling: the real thing
- Dynamic methods and learning from the past
- Bayesian filtering and Gaussian densities
- .