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Regression ya Bayesian ya Kuantili-juu-ya-Kuantili

Regression ya Bayesian ya Kuantili-juu-ya-Kuantili (BQQ) inapanua mfumo wa Sim-Zhou wa kuantili-juu-ya-kuantili kwa kubadilisha makadirio ya ndani ya mstari wa mara kwa mara na inferensi ya baadaye ya Bayesian. Kwa kila jozi ya kuantili (theta ya matokeo, tau ya kiashiria), mbinu hutoa usambazaji kamili wa baadaye juu ya mteremko, ikiwezesha uhakiki wa kutokuwa na uhakika katika uso mzima wa kuantili wa pande mbili — faida muhimu wakati ukubwa wa sampuli ni wa wastani na kuantili za mkia ni chache.

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Vyanzo

  1. Sim, N., & Zhou, H. (2015). Oil prices, US stock return, and the dependence between their quantiles. Journal of Banking and Finance, 55, 1–8. DOI: 10.1016/j.jbankfin.2015.01.013
  2. Yu, K., & Moyeed, R. A. (2001). Bayesian quantile regression. Statistics and Probability Letters, 54(4), 437–447. DOI: 10.1016/S0167-7152(01)00124-9

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Bayesian Quantile-on-Quantile Regression. ScholarGate. https://scholargate.app/sw/econometrics/bayesian-quantile-on-quantile-regression

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ScholarGateBayesian Quantile-on-Quantile Regression (Bayesian Quantile-on-Quantile Regression). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/econometrics/bayesian-quantile-on-quantile-regression · Seti ya data: https://doi.org/10.5281/zenodo.20539026