HIGHLIGHTS
- who: Christopher Yau from the Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK have published the article: Bayesian statistical learning for big data biology, in the Journal: (JOURNAL)
- how: This review describes the theoretical foundations underlying Bayesian statistics and outlines the computational frameworks for implementing Bayesian inference in practice.
- future: Nonetheless further research into improved and faster Biophys Rev 1195-102 Bayesian computation techniques for big data biology is required.
SUMMARY
Statistics provides a theoretical foundation for rigorous and coherent data_analysis by providing a mathematical framework . . .
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