A Dirichlet process is a probability distribution whose range is itself a set of probability distributions. |
| Dirichlet process |  |
В теории вероятностей процессы Дирихле представляют собой семейство случайных процессов, реализациями которых являются распределения вероятностей. Другими словами, процесс Дирихле — это распределение вероятностей, диапазон которого сам по себе... Википедия (Английский язык)
The Dirichlet process is a stochastic proces used in Bayesian nonparametric models of data, particularly in Dirichlet process mixture models (also known as. |
14 окт. 2008 г. · ▻ Dirichlet distribution, and Dirichlet Process introduction. ▻ Dirichlet Processes from different perspectives. ▻ Samples from a Dirichlet ... |
The Dirichlet process (DP) is arguably the most popular BNP model for random probability measures (RPM), and plays a central role in the literature on RPMs,. |
14 апр. 2017 г. · The Dirichlet process (DP) is a stochastic process whose sample paths are probability measures with probability one. Stochastic processes are ... |
This tutorial aims to help beginners understand key concepts by working through important but often omitted derivations carefully and explicitly. |
17 мая 2011 г. · A Dirichlet process has two parameters: 1. A positive real number α0 > 0, called the concentration parameter. |
Dirichlet process mixture models provide an attractive alternative to finite mixture models because they don't require the modeler to specify the number of ... |
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