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Bayesian methodsBayesian / computational

Mchanganuo wa Gibbs wa Angani

Mchanganuo wa Gibbs wa Angani hutumia kizamzaji cha Gibbs — mbinu ya mnyororo wa Markov wa Monte Carlo inayofanya kazi kwa mpangilio wa kuratibu — kwa miundo ambapo uchunguzi umepangwa katika anga na maeneo yaliyo karibu yana uhusiano wa takwimu. Kwa kutumia uhuru kamili unaodokezwa na muundo wa majirani wa anga, kila eneo husasishwa moja baada ya nyingine ikizingatiwa majirani zake, na kufanya uchunguzi wa baadaye uwezekano kwa ajili ya sehemu za Markov, sehemu za Gaussian za Markov, na miundo ya kijiografia ya tabaka.

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Vyanzo

  1. Geman, S. & Geman, D. (1984). Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 6(6), 721–741. DOI: 10.1109/TPAMI.1984.4767596
  2. Rue, H. & Held, L. (2005). Gaussian Markov Random Fields: Theory and Applications. Chapman & Hall/CRC. ISBN: 978-1584884323

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Spatial Gibbs Sampling for Markov Random Fields and Geostatistical Models. ScholarGate. https://scholargate.app/sw/bayesian/spatial-gibbs-sampling

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ScholarGateSpatial Gibbs Sampling (Spatial Gibbs Sampling for Markov Random Fields and Geostatistical Models). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/bayesian/spatial-gibbs-sampling · Seti ya data: https://doi.org/10.5281/zenodo.20539026