ISSN: 2041-6792

Clinical Investigation

Bayesian-statistics-Open-Access-Articles

Bayesian statistics is a system that uses the mathematical language of probability to describe epistemological incertitude. Degrees of belief in states of nature are specified in the 'Bayesian Paradigm;' these are non-negative, and total belief in all states of nature is fixed as one. Starting with existing 'prior' beliefs, Bayesian statistical methods update using data to posterior beliefs that can be used as grounds for inferential decisions. Bayesian inference is a statistical inference method in which theorem used by Bayes is used to update the probability of a hypothesis as more evidence or information becomes available. Bayesian inference is an important statistical technique, and especially in mathematical statistics. Bayesian inference is a perspective different from Classical (Frequentist) Statistics. Probability is more epistemological to a Bayesian. Posterior probability (in terms of lay) is an updated belief in the likelihood of an event occurring given the data observed and the prior. 

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