Binary spatial random field reconstruction from non-Gaussian inhomogeneous time-series observations

Binary spatial random field reconstruction from non-Gaussian inhomogeneous time-series observations

We develop a new model for spatial random field reconstruction of a binary-valued spatial phenomenon. In our model, sensors are deployed in a wireless sensor network across a large geographical region. Each sensor measures a non-Gaussian inhomogeneous temporal process which depends on the spatial ph...

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Bibliographic Details
Main Authors: Sheng, Shunan, Xiang, Qikun, Nevat, Ido, Neufeld, Ariel
Other Authors: School of Physical and Mathematical Sciences
Format: Journal Article
Language:English
Published: 2024
Subjects:
Mathematical Sciences
Sensor networks
Warped Gaussian process
Online Access:https://hdl.handle.net/10356/176210

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