Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"Bayesian mixture model"”.
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A study of computational methods to analyze gene expression data
… are proposed to address such challenges: a Bayesian mixture model, an extended Bayesian mixture model, and an Eigen-brain approach. The Bayesian mixture framework involves integration of the Bayesian network and the Gaussian mixture model. Based on the proposed framework and its conjunction …
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Robust Bayesian Anomaly Detection Methods for Large Scale Sensor Systems
… outlying sensor anomalies. We propose two Bayesian mixture model approaches that utilize heavy-tailed Cauchy assumptions. First, we propose a Robust Bayesian Regression, which utilizes a scale-mixture model to induce a Cauchy regression. Second, we extend elements of the Robust Bayesian …
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Bayesian Statistical Methods In Gene-Environment and Gene-Gene Interaction Studies
… of diseases. More advanced statistical models are urgently needed to identify and characterize some additional genetic and environmental factors and their interactions, which will enable us to better understand the causes of complex diseases. In the past decade, thanks to the increasing …
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New applications of statistics in astronomy and cosmology
… analysis in these fields, and in particular, Bayesian methods. As the next generation of instruments comes online, this trend should be continued since previously ignored effects must be considered rigorously in order to avoid biases and incorrect scientific conclusions being drawn from the …
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Latent Class Model in Transportation Study
… be interpreted as to establish the statistical models for the latent structure of data. Over the past several years, the interest in latent class models has continuously increased due to their great potential in solving practical problems. In this dissertation, I developed several latent class …
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Using high-content subcellular proteomics to identify x-ray-induced protein trafficking
… (LOPIT-DC), was coupled with a semi-supervised Bayesian mixture model to address these technical limitations and screen for protein localisation events in an untargeted and cell-wide manner. First, protein expression was measured within the lung carcinoma A549 cell line over several time points, …
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Peculiar flow fields in the zone of avoidance from the near-infrared Tully-Fisher relation
… on the shape of galaxies and derive a correction model. We show the ability of this model to reproduce the intrinsic axial ratio from the observed parameters up to extinction levels of AV ~ 11 mag. We present new narrow-band HI 21-cm observations for 394 selected galaxies from the HIZOA survey …