Bayesian Statistics For Beginners Av Therese M. (wildlife Biologist Wildlife Biologist U.s. Geological Survey Vermont Cooperative Fish And Wildlife Re

Bayesian statistics is currently undergoing something of a renaissance. At its heart is a method of statistical inference in which Bayes'' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. It is an approach that is ideally suited to making initial assessments based on incomplete or imperfect information; as that information is gathered and disseminated, the Bayesian approach corrects or replaces theassumptions and alters its decision-making accordingly to generate a new set of probabilities. As new data/evidence becomes available the probability for a particular hypothesis can therefore be steadily refined and revised. It is very well-suited to the scientific method in general and is widely usedacross the social, biological, medical, and physical sciences. Key to this book''s novel and informal perspective is its unique pedagogy, a question and answer approach that utilizes accessible language, humor, plentiful illustrations,

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