Bayesian compendium
Oijen, Marcel van.

Linked to FindBook      Google Book      Amazon      博客來     
  • Bayesian compendium
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Bayesian compendium/ by Marcel van Oijen.
    Author: Oijen, Marcel van.
    Published: Cham :Springer International Publishing : : 2024.,
    Description: xvi, 265 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: - 1. Science and Uncertainty -- 2. Bayesian Inference -- 3. Assigning a Prior Distribution -- 4. Assigning a Likelihood Function -- 5. Deriving the Posterior Distribution -- 6. Markov Chain Monte Carlo Sampling (MCMC) -- 7. Sampling from the Posterior Distribution by MCMC -- 8. MCMC and Multivariate Models -- 9. Bayesian Calibration and MCMC: Frequently Asked Questions -- 10. After the Calibration: Interpretation, Reporting, Visualisation -- 11. Model Ensembles: BMC and BMA -- 12. Discrepancy -- 13. Approximations to Bayes -- 14.Thirteen Ways to Fit a Straight Line -- 15. Gaussian Processes and Model Emulation -- 16. Graphical Modelling -- 17. Bayesian Hierarchical Modelling -- 18. Probabilistic Risk Analysis -- 19. Bayesian Decision Theory -- 20. Linear Modelling: LM, GLM, GAM and Mixed Models -- 21. Machine Learning -- 22. Time Series and Data Assimilation -- 23. Spatial Modelling and Scaling Error -- 24. Spatio-Temporal Modelling and Adaptive Sampling -- 25. What Next?.
    Contained By: Springer Nature eBook
    Subject: Bayesian statistical decision theory. -
    Online resource: https://doi.org/10.1007/978-3-031-66085-6
    ISBN: 9783031660856
Location:  Year:  Volume Number: 
Items
  • 1 records • Pages 1 •
 
W9499218 電子資源 11.線上閱覽_V 電子書 EB QA279.5 .O35 2024 一般使用(Normal) On shelf 0
  • 1 records • Pages 1 •
Multimedia
Reviews
Export
pickup library
 
 
Change password
Login