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Bayesian non-parametric methods for dynamic state-noise covariance matrix estimation: Application to target tracking

Research article (Signal Processing, 2016) · cited 16× · AI/ML
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Bayesian non-parametric methods for dynamic state-noise covariance matrix estimation: Application to target tracking

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Bayesian non-parametric methods for dynamic state-noise covariance matrix estimation: Application to target tracking is a scholarly article[1].

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  • Bayesian non-parametric methods for dynamic state-noise covariance matrix estimation: Application to target tracking's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Bayesian non-parametric methods for dynamic state-noise covariance matrix estimation: Application to target tracking. Retrieved May 24, 2026, from https://4ort.xyz/entity/bayesian-non-parametric-methods-for-dynamic-state-noise-covariance-matrix-estimation-application-to-target-tracking
MLA “Bayesian non-parametric methods for dynamic state-noise covariance matrix estimation: Application to target tracking.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bayesian-non-parametric-methods-for-dynamic-state-noise-covariance-matrix-estimation-application-to-target-tracking.
BibTeX @misc{4ortxyz_bayesian-non-parametric-methods-for-dynamic-state-noise-covariance-matrix-estimation-application-to-target-tracking_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bayesian non-parametric methods for dynamic state-noise covariance matrix estimation: Application to target tracking}}, year = {2026}, url = {https://4ort.xyz/entity/bayesian-non-parametric-methods-for-dynamic-state-noise-covariance-matrix-estimation-application-to-target-tracking}, note = {Accessed: 2026-05-24}}
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