Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models

DOI10.1016/j.automatica.2016.07.018zbMath1348.93245OpenAlexW2531223029WikidataQ60022142 ScholiaQ60022142MaRDI QIDQ340712

Silvia Ferrari, Jonathan P. How, Shayegan Omidshafiei, Robert H. Klein, Miao Liu, Hongchuan Wei, Pingping Zhu, Wen-jie Lu

Publication date: 14 November 2016

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2016.07.018

zbMATH Keywords

Gaussian processinformation theoryDirichlet processinformation gainBayesian nonparametric models

Mathematics Subject Classification ID

Stochastic systems in control theory (general) (93E03) Information theory (general) (94A15)

Cites Work

• Tracking in a cluttered environment with probabilistic data association
• Hierarchical Dirichlet Processes
• A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data
• A new relaxation algorithm and passive sensor data association
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