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Approximate Bayesian Computation kwa Mihiri ya Wakati

ABC kwa mihiri ya wakati ni mbinu ya uingizaji data ya Bayesian isiyo na uwezekano ambayo inakadiria usambazaji wa nyuma wa vigezo vya modeli kwa mifumo ya mfumo au mifumo iliyoandikwa kwa wakati kwa kulinganisha takwimu muhtasari wa nyimbo za kuigwa na zile za mfululizo ulioonekana, ikiepuka hitaji la kutathmini uwezekano wa uchanganuzi. Ni muhimu sana kwa modeli changamano za kimatibabu au za stochastic ambazo uwezekano wake hauwezi kutatuliwa.

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Vyanzo

  1. Toni, T., Welch, D., Strelkowa, N., Ipsen, A. & Stumpf, M. P. H. (2009). Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems. Journal of the Royal Society Interface, 6(31), 187–202. DOI: 10.1098/rsif.2008.0172
  2. Sisson, S. A., Fan, Y. & Beaumont, M. A. (Eds.) (2018). Handbook of Approximate Bayesian Computation. CRC Press. ISBN: 978-1439881507

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Time Series Approximate Bayesian Computation. ScholarGate. https://scholargate.app/sw/bayesian/time-series-approximate-bayesian-computation

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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 approximate Bayesian computation (Time Series Approximate Bayesian Computation). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/bayesian/time-series-approximate-bayesian-computation · Seti ya data: https://doi.org/10.5281/zenodo.20539026