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Published in 2024 at "Statistics and Computing"
DOI: 10.1007/s11222-024-10445-1
Abstract: We consider high-dimensional Bayesian inverse problems with arbitrary likelihood and product-form Laplace prior for which we provide a certified approximation of the posterior in the Hellinger distance. The approximate posterior differs from the prior only…
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Keywords:
coordinate selection;
certified coordinate;
dimensional bayesian;
high dimensional ... See more keywords
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Published in 2017 at "BMC Bioinformatics"
DOI: 10.1186/s12859-017-1589-9
Abstract: BackgroundThe current gold standard in dimension reduction methods for high-throughput genotype data is the Principle Component Analysis (PCA). The presence of PCA is so dominant, that other methods usually cannot be found in the analyst’s…
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Keywords:
coordinate selection;
genotype data;
genotype;
pca ... See more keywords