MCMC

RNA editing generates cellular subsets with diverse sequence within populations
RNA editing is a mutational mechanism that specifically alters the nucleotide content in transcribed RNA. However, editing rates vary …
Dewi Harjanto, Theodore Papamarkou, Chris J. Oates, Violeta Rayon-Estrada, F. Nina Papavasiliou, Anastasia Papavasiliou
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EWS-FLI1 employs an E2F switch to drive target gene expression
Cell cycle progression is orchestrated by E2F factors. We previously reported that in ETS-driven cancers of the bone and prostate, …
Raphaela Schwentner, Theodore Papamarkou, Maximilian O. Kauer, Vassilios Stathopoulos, Fan Yang, Sven Bilke, Paul S. Meltzer, Mark Girolami, Heinrich Kovar
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Monte Carlo methods and zero variance principle
The principle dates back to 1999, when it was introduced in the physics literature by [3]. The physical nomenclature would broadly …
Theodore Papamarkou, Antonietta Mira, Mark Girolami
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Zero variance differential geometric Markov chain Monte Carlo algorithms
Differential geometric Markov Chain Monte Carlo (MCMC) strategies exploit the geometry of the target to achieve convergence in fewer …
Theodore Papamarkou, Antonietta Mira, Mark Girolami
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