Probabilistic Data Analysis ; An Introductory Guide

@inproceedings{Skilling1998ProbabilisticDA,
  title={Probabilistic Data Analysis ; An Introductory Guide},
  author={John Skilling},
  year={1998}
}
Quantitative science requires the assessment of uncertainty, and this means that measurements and inferences should be described as probability distributions. This is done by building data into a probabilistic likelihood function which produces a posterior “answer” by modulating a prior “question”. Probability calculus is the only way of doing this consistently, so that data can be included gradually or all at once while the answer remains the same. But probability calculus is only a language… CONTINUE READING
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