Convergence rate of Markov chain methods for genomic motif discovery

We analyze the convergence rate of a simplified version of a popular Gibbs sampling method used for statistical discovery of gene regulatory binding motifs in DNA sequences. This sampler satisfies a very strong form of ergodicity (uniform). However, we show that, due to multimodality of the posterio...

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Veröffentlicht in:	arXiv.org 2013-03
Hauptverfasser:	Woodard, Dawn B, Rosenthal, Jeffrey S
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian analysis Convergence Deoxyribonucleic acid DNA Empirical analysis Gene sequencing Markov analysis Markov chains Mathematics - Statistics Theory Sampling Statistical methods Statistics - Theory
Online-Zugang:	Volltext
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