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  • Marcel van Oijen
    978-3-030-55897-0
    2020
    Edition 1
    • Shows how Bayesian algorithms work in an easy to understand way
    • Explains Markov Chain Monte Carlo sampling with straightforward examples
    • Complemented with the R codes used in the book for modelling, data analysis and visualisation
    • Covers complex process-based models as well as simple regression methods and includes chapters on model emulation, graphical modelling, hierarchical modelling, risk analysis and machine learning
    • Includes supplementary material: sn.pub/extras

    €419

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