Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Bayesian Inference with Geodetic Applications

Bayesian Inference with Geodetic Applications

Koch, Karl-Rudolf

Paperback

Series: Lecture Notes in Earth Sciences, Book 31

GeographyGeologyPhysics

ISBN10: 3540530800
ISBN13: 9783540530800
Publisher: Springer
Published: Oct 10 1990
Pages: 199
Weight: 0.76
Height: 0.45 Width: 6.69 Depth: 9.61
Language: English
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.

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