Bayesian inference
Method of statistical inference
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Bayesian inference 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. Fundamentally, Bayesian inference uses prior knowledge, in the form of a prior distribution in order to estimate posterior probabilities. Bayesian inference is an important technique in statistics, and especially in mathematical statistics. Bayesian updating is particularly important in the dynamic analysis of a sequence of data. Bayesian inference has found application in a wide range of activities, including science, engineering, philosophy, medicine, sport, and law. In the philosophy of decision theory, Bayesian inference is closely related to subjective probability, often called "Bayesian probability".
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Lynch family 'devastated' and being 'comforted by friends' after deadly superyacht sinkingThe Lynch family have said they are "devastated" and "in shock" but are being "comforted and supported by family and friends" after the Bayesian superyacht tragedy.Sky News - Published | |
Anomalies, questions and clues in the wreck: How investigators will look into the superyacht disasterItalian authorities are leading the investigation into the sinking of the Bayesian superyacht - owned by British tech tycoon Mike Lynch - which has so far seen six people confirmed dead.Sky News - Published | |
Why search of superyacht wreck has been so difficultThe search operation to find those missing after the sinking of the Bayesian superyacht has been plagued with difficulties.Sky News - Published | |