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Bayesian methods

Kichujio cha chembe (Sequential Monte Carlo)

Kichujio cha chembe, kilichoanzishwa na Gordon, Salmond, na Smith mwaka 1993, ni algorithm ya Monte Carlo yenye mpangilio ambayo inakadiria usambazaji wa uchujaji wa Bayesian kwa mifumo ya nafasi ya hali isiyo ya mstari na isiyo ya Gaussian. Badala ya kufuatilia makadirio moja bora, kinadumisha kundi la sampuli N za nasibu zenye uzito—chembe—ambazo kwa pamoja huwakilisha usambazaji kamili wa nyuma wa hali iliyofichwa kwa kila nukta ya muda wakati maoni mapya yanapofika.

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Vyanzo

  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., Godsill, S. J., & Andrieu, C. (2000). On sequential Monte Carlo sampling methods for Bayesian filtering. Statistics and Computing, 10(3), 197–208. DOI: 10.1023/A:1008935410038
  3. Doucet, A., de Freitas, N., & Gordon, N. (Eds.). (2001). Sequential Monte Carlo Methods in Practice. Springer-Verlag. ISBN: 978-0-387-95146-1

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Particle Filter (Sequential Monte Carlo). ScholarGate. https://scholargate.app/sw/bayesian/particle-filter

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Imerejelewa na

ScholarGateParticle Filter (Particle Filter (Sequential Monte Carlo)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/bayesian/particle-filter · Seti ya data: https://doi.org/10.5281/zenodo.20539026