A Theory of Uncertainty Variables for State Estimation and Inference
© 2019 IEEE. Probability theory forms an overarching framework for modeling uncertainty, and by extension, also in designing state estimation and inference algorithms. While it provides a good foundation to system modeling, analysis, and an understanding of the real world, its application to algorit...
Main Authors: | Talak, Rajat, Karaman, Sertac, Modiano, Eytan |
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Other Authors: | Massachusetts Institute of Technology. Laboratory for Information and Decision Systems |
Format: | Article |
Language: | English |
Published: |
IEEE
2021
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Online Access: | https://hdl.handle.net/1721.1/136725 |
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