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Population SAMC, ChIP-chip Data Analysis and Beyond

Autor: Wu, Mingqi

This dissertation research consists of two topics, population stochastics approximation Monte Carlo (Pop-SAMC) for Baysian model selection problems and ChIP-chip data analysis. The following two paragraphs give a brief introduction to each of the two

Externí odkaz: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8752

Source enumeration in the presence of colored noise

Autor: Alma Eguizabal, Christian Lameiro, David Ramirez, Peter J. Schreier

Publikováno v: e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)

In array signal processing, the detection of the number of sources is an important step. Most approaches assume the signals to be embedded in white noise. However, this assumption is unrealistic in many scenarios. In this letter, we propose a strateg

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05ddcb89f9c61d694be534caa7f6150e
https://hdl.handle.net/10016/31476

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On robust stopping times for detecting changes in distribution

Autor: Golubev, Yuri, Safarian, Mher

Let X1, X2,...be independent random variables observed sequen-tially and such that X1,...,X θ−1 have a common probability density p 0, while X θ ,X θ +1,...are all distributed according to p 1 6 = p 0. It is assumed that p 0 and p 1 are known, b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::635cb9de213cf749972a2afe8b0feab3