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Likelihood and random procedures covers a broad choice of information from sample Room and types of events to The fundamental guidelines of likelihood, the fundamental counting theory, conditional probability, Bayes' theorem, and determination trees to likelihood distributions and functions of random variables to stochastic procedures like Markov processes and simulation approaches.