Kielelezo cha GARCH cha Bayesian
Kielelezo cha GARCH cha Bayesian huunganisha mfumo wa GARCH kwa kutofautiana kwa kutofautiana kwa wakati na uchunguzi wa nyuma wa Bayesian. Badala ya kuongeza uwezekano, huainisha usambazaji wa awali kwa vigezo vya GARCH na huchota kutoka kwa usambazaji wa nyuma unaotokana — kwa kawaida kupitia Markov chain Monte Carlo (MCMC) — ili kuhesabu makadirio ya nukta na kutokuwa na uhakika kamili kuhusu mienendo ya kutofautiana.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- Geweke, J. (1989). Exact predictive densities for linear models with ARCH disturbances. Journal of Econometrics, 40(1), 63–86. DOI: 10.1016/0304-4076(89)90030-4 ↗
- Nakatsuma, T. (2000). Bayesian analysis of ARMA-GARCH models: A Markov chain sampling approach. Journal of Econometrics, 95(1), 57–69. DOI: 10.1016/S0304-4076(99)00029-9 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Bayesian Generalized Autoregressive Conditional Heteroskedasticity Model. ScholarGate. https://scholargate.app/sw/econometrics/bayesian-garch-model
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.
- Muundo wa ARCH (Autoregressive Conditional Heteroskedasticity)Ekonometriki↔ compare
- Modeli ya EGARCH (Exponential GARCH)Ekonometriki↔ compare
- Modeli wa GARCH (Utabiri wa Msukosuko)Ekonometriki↔ compare
- Mchanganuo wa Kutokuwa na Utulivu wa Kimahesabu (Heston)Fedha↔ compare
Imerejelewa na
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