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Published in 2022 at "Statistics in medicine"
DOI: 10.1002/sim.9410
Abstract: In most models and algorithms for dose-finding clinical trials, it is assumed that the trial participants are homogeneous-the optimal dose is the same for all those who qualify for the trial. However, if there are…
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Keywords:
bayesian clustering;
dose finding;
methodology;
subgroup specific ... See more keywords
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Published in 2018 at "Bioinformatics"
DOI: 10.1093/bioinformatics/bty056
Abstract: Motivation: Estimation of the hidden population structure is an important step in many genetic studies. Often the aim is also to identify which sequence locations are the most discriminative between groups of samples for a…
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Keywords:
kpax3 bayesian;
clustering large;
sequence datasets;
large sequence ... See more keywords
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Published in 2020 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2019.2956554
Abstract: In this article, we study the edge caching problem by considering the heterogeneous context with unknown users’ preferences. The cache provider (CP) can personalize the users’ storage based on available data to maximize the overall…
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Keywords:
online edge;
cache;
edge caching;
bayesian clustering ... See more keywords