Bayesian Data Analysis for Sport Science
DOI:
https://doi.org/10.51224/SRXIV.116Keywords:
Bayesian data analysis, statistical modeling, sport scienceAbstract
Bayesian data analysis (BDA) is method of statistical inference that make use of the probability for quantify uncertainty in inferences based on statistical data analysis. Along the manuscript different concepts are addressed to those sport scientists that want to start to use BDA: the Bayes ‘rule, hierarchical modeling, Markov Chain Monte Carlo techniques, predictive modeling, hypothesis testing and Bayesian workflow. Finally, an applied example is performed to help to apply of the previous concepts form a practical point of view and to report results.
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Copyright (c) 2022 Jorge del Rosario Fernández Santos, Jesus Gustavo Ponce Gonzalez, Jose Castro Piñero, Jose Luis Gonzalez Montesinos
This work is licensed under a Creative Commons Attribution 4.0 International License.
