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PalaeoBayes: bayesian hypothesis testing for paleobiologists. – computer software [online] : inspired by the books of the late Jaynes, Bolstad, and Hammer&Harper, this collection of C functions and sample programs aims to assist those paleobiologists who recognised the worth of Bayesian way of extending logic to reasoning with uncertainty

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    0370797 - GLÚ 2012 RIV CZ eng L4 - Software
    Čejchan, Petr
    PalaeoBayes: bayesian hypothesis testing for paleobiologists. – computer software [online] : inspired by the books of the late Jaynes, Bolstad, and Hammer&Harper, this collection of C functions and sample programs aims to assist those paleobiologists who recognised the worth of Bayesian way of extending logic to reasoning with uncertainty.
    Internal code: ARL0370797 ; 2011
    Technical parameters: open acces software
    Economic parameters: open acces software pro vědecký výzkum
    R&D Projects: GA AV ČR IAA300130702
    Institutional research plan: CEZ:AV0Z30130516
    Keywords : posterior distribution * Normal mean * Binomial proportion * Poisson rate * Bayesian probability * computer software
    Subject RIV: DB - Geology ; Mineralogy
    https://sourceforge.net/projects/palaeobayes/

    It was repeatedly shown (Jeffreys, 1946; Jaynes, 1994, 2003; Bolstad, 2007, Aitkin, 2010, Link & Harper, 2010; Kruschke, 2011, and elsewhere) that the frequentist approach to inference has serious flaws, is not able to incorporate prior knowledge, and does not answer the questions about the hidden model parameter given the observed data, but rather assesses the probability of data coming from the model with certain value of parameter. The Bayes' Theorem offers a clean solution to arbitrarily complex models, and was shown being a proper extension of (binary) logic in presence of uncertainty (Jaynes, 1994). Inspired by the books of the late Jaynes, Bolstad, and Hammer & Harper, this collection of C functions and sample programs aims to assist those paleobiologists who recognised the worth of Bayesian way of extending logic to reasoning with uncertainty. The library is open-source. License is GPL-3.
    Permanent Link: http://hdl.handle.net/11104/0204490

     
     
Number of the records: 1  

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