A Bayesian Random Set Framework for Fusion of Hard and Soft Data: Theory and Methods

Project Member(s): Bishop, A.

Funding or Partner Organisation: Defence Science and Technology Group of the Department of Defence (Defence Science and Technology Organisation of the Department of Defence)
Defence Science and Technology Group of the Department of Defence (Defence Science and Technology Organisation of the Department of Defence)

Start year: 2017

Publications:

Taylor, CN & Bishop, AN 2019, 'Homogeneous functionals and Bayesian data fusion with unknown correlation', Information Fusion, vol. 45, pp. 179-189.
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Taylor, CN & Bishop, AN 1970, 'Distributed Power Mean Fusion', FUSION 2019 - 22nd International Conference on Information Fusion, International Conference on Information Fusion, IEEE, Ottawa, ON, Canada.

Houssineau, J & Bishop, AN 2017, 'Smoothing and filtering with a class of outer measures', SIAM/ASA Journal on Uncertainty Quantification, Volume 6, Issue 2, pages: 845-866, 2018, vol. 6, no. 2, pp. 845-866.
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FOR Codes: Expanding Knowledge in the Mathematical Sciences, Statistical Theory, Statistical theory , Emerging Defence Technologies

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.