Regression modelEconometrics / time series

Bayesianaska regresija kvantila na kvantil

Bayesianaska regresija kvantila na kvantil (BQQ) proširuje Sim-Zhouov okvir kvantila na kvantil zamjenom lokalne linearne procjene utemeljene na čestojistvenosti (frequentist) s inferencijom iz aposteriorne raspodjele (Bayesian posterior inference). Za svaki par kvantila (theta ishoda, tau prediktora), metoda daje potpunu aposteriornu raspodjelu nagiba, omogućujući kvantifikaciju nesigurnosti preko cijele bivarijatne površine kvantila — ključna prednost kada su veličine uzoraka umjerene, a repni kvantili rijetki.

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Izvori

  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

Kako citirati ovu stranicu

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

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ScholarGateBayesian Quantile-on-Quantile Regression (Bayesian Quantile-on-Quantile Regression). Preuzeto 2026-06-15 s https://scholargate.app/hr/econometrics/bayesian-quantile-on-quantile-regression · Skup podataka: https://doi.org/10.5281/zenodo.20539026