A nonparametric Bayesian method for dose finding in drug combinations cancer trials
Sign Up to like & getrecommendations! 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… read more here.
Keywords: drug; cancer trials; nonparametric bayesian; bayesian method ... See more keywords
Parametric and Nonparametric Bayesian Filters for Autonomous Underwater Vehicle Localization
Sign Up to like & getrecommendations! 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… read more here.
Keywords: nonparametric bayesian; vehicle; parametric nonparametric; bayesian filters ... See more keywords
Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering
Sign Up to like & getrecommendations! 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… read more here.
Keywords: signal compression; nonparametric bayesian; dictionary learning; seismic signal ... See more keywords