期刊全称 | Bayesian Inference with Geodetic Applications | 影响因子2023 | Karl-Rudolf Koch | 视频video | | 学科分类 | Lecture Notes in Earth Sciences | 图书封面 |  | 影响因子 | This introduction to Bayesian inference places special emphasis on applications. All basic concepts are presented: Bayes‘ theorem, prior density functions, point estimation, confidence region, hypothesis testing and predictive analysis. In addition, Monte Carlo methods are discussed since the applications mostly rely on the numerical integration of the posterior distribution. Furthermore, Bayesian inference in the linear model, nonlinear model, mixed model and in the model with unknown variance and covariance components is considered. Solutions are supplied for the classification, for the posterior analysis based on distributions of robust maximum likelihood type estimates, and for the reconstruction of digital images. | Pindex | Book 1990 |
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