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Kvantilová regresia×Model hladkého prechodového autoregresie (STAR)×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku19781994
TvorcaKoenker & BassettTeräsvirta (1994); van Dijk, Teräsvirta & Franses (2002)
TypConditional quantile regressionNonlinear time-series regime-switching model
Pôvodný zdrojKoenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗Teräsvirta, T. (1994). Specification, Estimation, and Evaluation of Smooth Transition Autoregressive Models. Journal of the American Statistical Association, 89(425), 208–218. DOI ↗
Ďalšie názvyconditional quantile regression, regression quantiles, Kantil Regresyonsmooth transition autoregressive model, LSTAR, ESTAR, logistic STAR
Príbuzné54
ZhrnutieQuantile regression models conditional quantiles of an outcome - the median, the 25th or 75th percentile, and so on - rather than the conditional mean that OLS targets. Introduced by Koenker and Bassett in 1978, it reveals how predictors act across the whole distribution, including its tails.The Smooth Transition Autoregressive (STAR) model is a nonlinear time-series model, developed in Teräsvirta's 1994 framework, that lets the dynamics move smoothly rather than abruptly between two regimes. The logistic variant (LSTAR) captures asymmetric business cycles and the exponential variant (ESTAR) captures purchasing-power-parity deviations.
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ScholarGatePorovnať metódy: Quantile Regression · STAR Model. Získané 2026-06-18 z https://scholargate.app/sk/compare