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Estimation and inference in a high-dimensional semiparametric Gaussian copula vector autoregressive model
Fan, Yanqin; Han, Fang; Park, Hyeonseok - In: Journal of econometrics 237 (2023) 1, pp. 1-28
Persistent link: https://www.econbiz.de/10014471479
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Testing the goodness of fit of a parametric density function by Kernel method
Fan, Yanqin - In: Econometric theory 10 (1994) 2, pp. 316-356
Persistent link: https://www.econbiz.de/10001164904
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Goodness-of-fit tests based on Kernel density estimators with fixed smoothing parameters
Fan, Yanqin - In: Econometric theory 14 (1998) 5, pp. 604-621
Persistent link: https://www.econbiz.de/10001381128
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Bootstrapping a consistent nonparametric goodness-of-fit test
Fan, Yanqin - In: Econometric reviews 14 (1995) 3, pp. 367-382
Persistent link: https://www.econbiz.de/10001185180
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Central limit theorem for degenerate U-statistics of absolutely regular processes with applications to model specification testing
Fan, Yanqin; Li, Qi - 1996
Persistent link: https://www.econbiz.de/10000961590
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Estimation and model selection of semiparametric multivariate survival functions under general censorship
Chen, Xiaohong; Fan, Yanqin; Pouzo, Demian; Ying, Zhiliang - 2008
Persistent link: https://www.econbiz.de/10003778347
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A nonparametric bootstrap test of conditional distributions
Fan, Yanqin; Li, Qi; Min, Insik - In: Econometric theory 22 (2006) 4, pp. 587-613
Persistent link: https://www.econbiz.de/10003351873
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Estimation of copula-based semiparametric time series models
Chen, Xiaohong; Fan, Yanqin - In: Journal of econometrics 130 (2006) 2, pp. 307-335
Persistent link: https://www.econbiz.de/10003277967
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Evaluating density forecasts via the copula approach
Chen, Xiaohong; Fan, Yanqin - In: Finance research letters 1 (2004) 1, pp. 74-84
Persistent link: https://www.econbiz.de/10003307253
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Efficient estimation of semiparametric multivariate copula models
Chen, Xiaohong; Fan, Yanqin; Tsyrennikov, Viktor - In: Journal of the American Statistical Association : JASA 101 (2006), pp. 1228-1240
Persistent link: https://www.econbiz.de/10003375981