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Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9316
Abstract: We propose an adaptive design for early‐phase drug‐combination cancer trials with the goal of estimating the maximum tolerated dose (MTD). A nonparametric Bayesian model, using beta priors truncated to the set of partially ordered dose…
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Keywords:
drug;
cancer trials;
nonparametric bayesian;
bayesian method ... See more keywords
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Published in 2019 at "Journal of Control, Automation and Electrical Systems"
DOI: 10.1007/s40313-019-00529-z
Abstract: This work presents a comparison between parametric and nonparametric localization methods for autonomous underwater vehicles based on two classes of Bayesian filters for sensor fusion: the Particle Filter and the Extended Kalman Filter. In order…
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Keywords:
nonparametric bayesian;
vehicle;
parametric nonparametric;
bayesian filters ... See more keywords
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Published in 2024 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbae689
Abstract: Abstract The spatial transcriptomics is a rapidly evolving biological technology that simultaneously measures the gene expression profiles and the spatial locations of spots. With progressive advances, current spatial transcriptomic techniques can achieve the cellular or…
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Keywords:
spatial transcriptomics;
bact;
cell;
nonparametric bayesian ... See more keywords
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Published in 2017 at "Algorithms"
DOI: 10.3390/a10020065
Abstract: We introduce a seismic signal compression method based on nonparametric Bayesian dictionary learning method via clustering. The seismic data is compressed patch by patch, and the dictionary is learned online. Clustering is introduced for dictionary…
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Keywords:
signal compression;
nonparametric bayesian;
dictionary learning;
seismic signal ... See more keywords