雀斑
发表于 2025-3-27 00:13:59
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packet
发表于 2025-3-27 03:48:59
Simulation Experiments,Simulation provides a straightforward way of approximating probabilities. We illustrate the use of two R functions in simulating some famous probability problems.
Aspiration
发表于 2025-3-27 08:12:35
Bayesian Modeling,The basic tenets of Bayesian inference are introduced. This includes the construction of a prior and the use of the posterior distribution to perform inferences. Simulation is helpful in summarizing posterior distributions and Markov chain Monte Carlo algorithms are useful in simulating from posterior distributions of non-familiar forms.
Progesterone
发表于 2025-3-27 11:46:46
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champaign
发表于 2025-3-27 15:07:20
Monte Carlo Methods, compute some expectations by the Monte Carlo method. These computations are helpful in comparing sampling properties of point estimators or evaluating probabilities of coverage of interval estimators. We illustrate the use of Markov chain Monte Carlo (MCMC) methods in simulating from sampling distributions.
Pandemic
发表于 2025-3-27 18:44:11
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昏迷状态
发表于 2025-3-28 00:05:39
978-1-4614-1364-6Springer Science+Business Media, LLC, part of Springer Nature 2012
acrimony
发表于 2025-3-28 05:34:20
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相符
发表于 2025-3-28 07:55:18
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小歌剧
发表于 2025-3-28 14:30:53
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