| Title: | Performance Analysis for Sequential Statistical Discrimination of Gaussian Random Fields |
| Authors: | Leonov, I. |
| Keywords: | материалы конференций;random field;sequential decision rule;Gaussian random field;sequential analysis |
| Issue Date: | 2023 |
| Publisher: | BSU |
| Citation: | Leonov, I. Performance Analysis for Sequential Statistical Discrimination of Gaussian Random Fields / I. Leonov // Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) : Proceedings of the 16th International Conference, October 17–19, 2023, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2023. – P. 212–214. |
| Abstract: | Stochastic processes stand as a versatile tool for modeling and understanding random phenomena. These
processes describe system evolution while taking into account randomness and uncertainty. Nowadays, stochastic processes find application in a variety of domains, such as modeling financial markets, monitoring manufacturing procedures and predicting disease spread. This paper proposes a sequential procedure for testing hypotheses concerning the correlational structure of random fields and their trends. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/54282 |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023)
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