Selected article for: "distribution probability and posterior distribution probability"

Author: Marcus Ludwig; Louis-Félix Nothias; Kai Dührkop; Irina Koester; Markus Fleischauer; Martin A. Hoffmann; Daniel Petras; Fernando Vargas; Mustafa Morsy; Lihini Aluwihare; Pieter C. Dorrestein; Sebastian Böcker
Title: ZODIAC: database-independent molecular formula annotation using Gibbs sampling reveals unknown small molecules
  • Document date: 2019_11_16
  • ID: 03uonbrv_93
    Snippet: This generates a Markov chain of samples converging to the posterior probability distribution of assignments. In practice, we discard samples from the beginning of the chain (burn-in period), and to avoid correlation between nearby samples, we output only every, say, 10 th sample......
    Document: This generates a Markov chain of samples converging to the posterior probability distribution of assignments. In practice, we discard samples from the beginning of the chain (burn-in period), and to avoid correlation between nearby samples, we output only every, say, 10 th sample.

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