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Additive intensity regression models in corporate default analysis
Lando, David; Medhat, Mamdouh; Nielsen, Mads Stenbo; … - In: Journal of financial econometrics : official journal of … 11 (2013) 3, pp. 443-485
Persistent link: https://www.econbiz.de/10009786519
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A nonparametric regression estimator that adapts to error distribution of unkown form
Linton, Oliver; Xiao, Zhijie - 2001
Persistent link: https://www.econbiz.de/10001593437
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Semiparametric regression analysis under imputation for missing response data
Wang, Qihua; Linton, Oliver; Härdle, Wolfgang - 2003
Persistent link: https://www.econbiz.de/10001760764
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Nonparametric censored and truncated regression
Lewbel, Arthur; Linton, Oliver - 2000
Persistent link: https://www.econbiz.de/10001551047
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Nonparametric estimation with aggregated data
Linton, Oliver; Whang, Yoon-jae - 2000
Persistent link: https://www.econbiz.de/10001492695
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Efficient estimation of nonparametric regression in the presence of dynamic heteroskedasticity
Linton, Oliver; Xiao, Zhijie - 2019
Persistent link: https://www.econbiz.de/10012692312
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The lower regression function and testing expectation dependence dominance hypotheses
Linton, Oliver; Whang, Yoon-jae; Yen, Yu-min - 2018
Persistent link: https://www.econbiz.de/10012671331
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When will the Covid-19 pandemic peak?
Li, Shaoran; Linton, Oliver - 2020 - updated 16th July 2020
Persistent link: https://www.econbiz.de/10013190700
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Estimating time-varying networks for high-dimensional time series
Chen, Jia; Li, Degui; Li, Yuning; Linton, Oliver - 2022 - Version: December 13, 2022
Persistent link: https://www.econbiz.de/10013503856