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机译:Gibbs型先验是Dirichlet过程的最自然概括吗?
Department of Economics and Statistics, University of Torino, Torino, Italy;
Analytical models; Bayes methods; Computational modeling; Educational institutions; Learning systems; Proposals; Q measurement; Bayesian nonparametrics; Gibbs???type prior; Nonparametric statistics; Pitman???Yor process; Stochastic processes; clustering; consistency; dependent process; discrete nonparametric prior; exchangeable partition probability function; mixture model; population genetics; predictive distribution; species sampling;
机译:Gibbs型先验和层次概括的充要假设
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机译:使用Dirichlet过程先验进行贝叶斯混合聚类
机译:尖刺Dirichlet过程先验为高斯过程模型
机译:Gibbs型先验是Dirichlet最自然的概括 处理?