Suppose that the stationary distribution π exists.
As a consequence, is the stationary distribution of the chain.
which means that π is a stationary distribution of the produced chain.
This algorithm results in a Markov chain whose stationary distribution is the joint posterior distribution of interest.
Proposition If a Markov chain with a finite state space is irreducible, then it has a unique stationary distribution.
When this algorithm works well, it constructs a Markov chain whose sta- tionary distribution is the posterior distribution.
This algorithm produces a Markov chain whose invariant distribution is .
A reduction in Rti shifts the steady-state distribution of EXTs to the trans-Golgi.
An ergodic chain has an invariant law (be careful, it is also possible to calculate the stationary distribution of the other chains, the interpretation is then not the same).
Requêtes fréquentes français :1-200, -1k, -2k, -3k, -4k, -5k, -7k, -10k, -20k, -40k, -100k, -200k, -500k, -1000k,
Requêtes fréquentes anglais :1-200, -1k, -2k, -3k, -4k, -5k, -7k, -10k, -20k, -40k, -100k, -200k, -500k, -1000k,
Traduction Translation Traducción Übersetzung Tradução Traduzione Traducere Vertaling Tłumaczenie Mετάφραση Oversættelse Översättning Käännös Aistriúchán Traduzzjoni Prevajanje Vertimas Tõlge Preklad Fordítás Tulkojumi Превод Překlad Prijevod 翻訳 번역 翻译 Перевод