Bayesian Compendium
Marcel van Oijen ()
in Springer Books from Springer
Date: 2020
ISBN: 978-3-030-55897-0
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Chapters in this book:
- Ch Chapter 1 Introduction to Bayesian Thinking
- Marcel van Oijen
- Ch Chapter 10 Bayesian Calibration and MCMC: Frequently Asked Questions
- Marcel van Oijen
- Ch Chapter 11 After the Calibration: Interpretation, Reporting, Visualization
- Marcel van Oijen
- Ch Chapter 12 Model Ensembles: BMC and BMA
- Marcel van Oijen
- Ch Chapter 13 Discrepancy
- Marcel van Oijen
- Ch Chapter 14 Gaussian Processes and Model Emulation
- Marcel van Oijen
- Ch Chapter 15 Graphical Modelling (GM)
- Marcel van Oijen
- Ch Chapter 16 Bayesian Hierarchical Modelling (BHM)
- Marcel van Oijen
- Ch Chapter 17 Probabilistic Risk Analysis and Bayesian Decision Theory
- Marcel van Oijen
- Ch Chapter 18 Approximations to Bayes
- Marcel van Oijen
- Ch Chapter 19 Linear Modelling: LM, GLMGeneralized Linear Model (GLM), GAMGeneralized Additive Model (GAM) and Mixed Models
- Marcel van Oijen
- Ch Chapter 2 Introduction to Bayesian Science
- Marcel van Oijen
- Ch Chapter 20 Machine Learning
- Marcel van Oijen
- Ch Chapter 21 Time Series and Data Assimilation
- Marcel van Oijen
- Ch Chapter 22 Spatial Modelling and Scaling Error
- Marcel van Oijen
- Ch Chapter 23 Spatio-Temporal Modelling and Adaptive Sampling
- Marcel van Oijen
- Ch Chapter 24 What Next?
- Marcel van Oijen
- Ch Chapter 3 Assigning a Prior Distribution
- Marcel van Oijen
- Ch Chapter 4 Assigning a Likelihood Function
- Marcel van Oijen
- Ch Chapter 5 Deriving the Posterior Distribution
- Marcel van Oijen
- Ch Chapter 6 Sampling from Any Distribution by MCMC
- Marcel van Oijen
- Ch Chapter 7 Sampling from the Posterior Distribution by MCMC
- Marcel van Oijen
- Ch Chapter 8 Twelve Ways to Fit a Straight Line
- Marcel van Oijen
- Ch Chapter 9 MCMC and Complex Models
- Marcel van Oijen
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-3-030-55897-0
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DOI: 10.1007/978-3-030-55897-0
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