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关 键 词：购买stata软件以及培训
行 业：IT 软件 教学管理软件
发布时间：2024-01-11
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Frequentist analysis is entirely data-driven and strongly depends on whether or not the data assumptions required by the model are met. On the other hand, Bayesian analysis provides a more robust estimation approach by using not only the data at hand but also some existing information or knowledge about model parameters. In frequentist statistics, estimators are used to approximate the true values of the unknown parameters, whereas Bayesian statistics provides an entire distribution of the parameters. In our example of a prevalence of an infectious disease from What is Bayesian analysis?, frequentist analysis produced one point estimate for the prevalence, whereas Bayesian analysis estimated the entire posterior distribution of the prevalence based on a given sample.
What is the mean or median of the effect for a distribution of probable scenarios?
Stata's new xtmlogit command models categorical outcomes that change over time.
Now fit your Bayesian VAR models with bayes: var.
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