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Bayesian methodsBayesian / computational

SMC Urutan Deret Masa

SMC Urutan Deret Masa (SMC), yang lazim disebut penapis zarah, ialah kaedah simulasi Bayesian yang menjejak keadaan tersembunyi sistem dinamik apabila pemerhatian tiba satu demi satu. Awan sampel rawak berbobot — zarah — disebarkan ke hadapan melalui dinamik sistem, diberi semula bobot berdasarkan sejauh mana setiap zarah menerangkan pemerhatian baharu, dan diambil semula secara berkala untuk memastikan perwakilan tertumpu pada keadaan yang munasabah.

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Method map

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Sumber

  1. Gordon, N. J., Salmond, D. J., & Smith, A. F. M. (1993). Novel approach to nonlinear/non-Gaussian Bayesian state estimation. IEE Proceedings F — Radar and Signal Processing, 140(2), 107–113. DOI: 10.1049/ip-f-2.1993.0015
  2. Doucet, A., de Freitas, N., & Gordon, N. (Eds.). (2001). Sequential Monte Carlo Methods in Practice. Springer. ISBN: 978-0387951461

Cara memetik halaman ini

ScholarGate. (2026, June 3). Sequential Monte Carlo Methods for Time Series. ScholarGate. https://scholargate.app/ms/bayesian/time-series-sequential-monte-carlo

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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ScholarGateTime series sequential Monte Carlo (Sequential Monte Carlo Methods for Time Series). Dicapai 2026-06-15 daripada https://scholargate.app/ms/bayesian/time-series-sequential-monte-carlo · Set data: https://doi.org/10.5281/zenodo.20539026