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बेयसियन टीजीएआरसीएच (बेयसियन अनुमान के साथ थ्रेशोल्ड जीएआरसीएच)×बेयसियन ए.सी.एच. (ARCH) मॉडल×
क्षेत्रअर्थमितिअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष1994 / 20081982 (ARCH); 1989 (Bayesian estimation)
प्रवर्तकZakoian (1994) for TGARCH; Bayesian estimation formalized by Ardia (2008)Robert F. Engle (ARCH, 1982); Bayesian treatment: John Geweke (1989)
प्रकारVolatility model with asymmetric threshold and Bayesian inferenceVolatility model with Bayesian inference
मौलिक स्रोतZakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931-955. DOI ↗Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗
उपनामBayesian TGARCH, Bayesian GJR-GARCH, Threshold GARCH with Bayesian estimation, TGARCH-BBayesian ARCH, ARCH with Bayesian estimation, Bayesian conditional heteroskedasticity model, B-ARCH
संबंधित66
सारांशBayesian TGARCH combines the Threshold GARCH volatility model — which captures the asymmetric response of volatility to positive versus negative shocks — with full Bayesian inference via Markov Chain Monte Carlo sampling. The result is a principled, uncertainty-aware framework for modeling leverage effects and fat-tailed financial returns.The Bayesian ARCH model estimates Engle's Autoregressive Conditional Heteroskedasticity specification within a Bayesian framework. Instead of maximising a likelihood, it combines a prior distribution over the volatility parameters with the data likelihood to obtain a full posterior distribution, providing richer uncertainty quantification than classical maximum-likelihood ARCH.
ScholarGateडेटासेट
  1. v1
  2. 2 स्रोत
  3. PUBLISHED
  1. v1
  2. 2 स्रोत
  3. PUBLISHED

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ScholarGateविधियों की तुलना करें: Bayesian TGARCH · Bayesian ARCH model. 2026-06-17 को यहाँ से प्राप्त https://scholargate.app/hi/compare