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Hamiltonian Monte Carlo wa Ngazi Nyingi

Hamiltonian Monte Carlo wa Ngazi Nyingi (Multilevel HMC) unachanganya mkakati wa kupunguza utofauti wa Monte Carlo wa Ngazi Nyingi na uchunguzi wa Hamiltonian Monte Carlo unaoendeshwa na mteremko. Kwa kuendesha minyororo ya HMC iliyounganishwa katika viwango vinavyoongezeka vya uaminifu wa modeli au uamuzi, hupata makadirio sahihi ya nyuma kwa gharama ya kompyuta ambayo ni ndogo zaidi kuliko mnyororo mmoja wa HMC wa kiwango-safi.

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Vyanzo

  1. Beskos, A., Jasra, A., Law, K., Tempone, R., & Zhou, Y. (2017). Multilevel sequential Monte Carlo samplers. Stochastic Processes and their Applications, 127(5), 1417–1440. DOI: 10.1016/j.spa.2016.08.004
  2. Neal, R. M. (2011). MCMC using Hamiltonian dynamics. In S. Brooks, A. Gelman, G. Jones, & X.-L. Meng (Eds.), Handbook of Markov Chain Monte Carlo (pp. 113–162). CRC Press. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Multilevel Hamiltonian Monte Carlo. ScholarGate. https://scholargate.app/sw/bayesian/multilevel-hamiltonian-monte-carlo

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ScholarGateMultilevel Hamiltonian Monte Carlo (Multilevel Hamiltonian Monte Carlo). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/bayesian/multilevel-hamiltonian-monte-carlo · Seti ya data: https://doi.org/10.5281/zenodo.20539026