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Published in 2017 at "Journal of Mathematical Sciences"
DOI: 10.1007/s10958-017-3579-x
Abstract: We study empirical semi-parametric Bayesian estimates of exponential functionals in the model of competing risks. For these estimates we establish the properties of the uniform strong consistency and iterated logarithm type laws.
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Keywords:
estimation model;
bayesian estimation;
competing risks;
empirical bayesian ... See more keywords
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Published in 2017 at "Borsa Istanbul Review"
DOI: 10.1016/j.bir.2016.09.004
Abstract: In this paper, we empirically examine the impact of mergers on corporate financial performance in Pakistan using data on the deals occurred during the period 1995–2012. Ordinary least squares (OLS) and empirical Bayesian estimation methods…
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Keywords:
ols empirical;
effects mergers;
corporate performance;
empirical bayesian ... See more keywords
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Published in 2022 at "Scientific Reports"
DOI: 10.1038/s41598-022-06843-y
Abstract: Soil pollution is a big issue caused by anthropogenic activities. The spatial distribution of potentially toxic elements (PTEs) varies in most urban and peri-urban areas. As a result, spatially predicting the PTEs content in such…
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Keywords:
empirical bayesian;
machine regression;
vector machine;
peri urban ... See more keywords
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Published in 2017 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btw572
Abstract: Motivation: Mutational signatures can be used to understand cancer origins and provide a unique opportunity to group tumor types that share the same origins and result from similar processes. These signatures have been identified from…
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Keywords:
bayesian approach;
number signatures;
empirical bayesian;
approach ... See more keywords
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Published in 2017 at "PLoS ONE"
DOI: 10.1371/journal.pone.0169885
Abstract: Estimating divergence times on phylogenies is critical in paleontological and neontological studies. Chronostratigraphically-constrained fossils are the only direct evidence of absolute timing of species divergence. Strict temporal calibration of fossil-only phylogenies provides minimum divergence estimates,…
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Keywords:
bayesian approaches;
divergence;
topology;
empirical bayesian ... See more keywords
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Published in 2022 at "Genes"
DOI: 10.3390/genes13111982
Abstract: Although several biclustering algorithms have been studied, few are used for cross-pattern identification across species using multi-omics data mining. A fast empirical Bayesian biclustering (Bi-EB) algorithm is developed to detect the patterns shared from both…
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Keywords:
pattern identification;
multi omics;
bayesian biclustering;
empirical bayesian ... See more keywords