E-LIB Suche - Ergebnisse für: Jeong, Seok-Oh

1

A semiparametric mixture method for local false discovery r..:

Jeong, Seok-Oh ; Choi, Dongseok ; Jang, Woncheol
Annals of Applied Statistics, Vol.14 No.3, pp.1242-1257. , 2020

Link: https://hdl.handle.net/1..

2

A semiparametric mixture method for local false discovery r..:

Jeong, Seok-Oh ; Choi, Dongseok ; Jang, Woncheol
http://arxiv.org/abs/1604.04264. , 2016

Link: http://arxiv.org/abs/160..

3

Asymptotic distribution of conical-hull estimators of direc..:

Park, Byeong U ; Jeong, Seok-Oh ; Simar, Léopold
http://arxiv.org/abs/1010.0312. , 2010

Link: http://arxiv.org/abs/101..

4

Nonparametric conditional efficiency measures: asymptotic p..:

Jeong, Seok-Oh ; Park, Byeong U ; Simar, Léopold
info:eu-repo/grantAgreement/Belgian Science Policy/IAP/Statistical techniques and modelling for complex substantive questions with complex data. , 2006

Link: http://hdl.handle.net/20..

5

Nonparametric conditional efficiency measures: asymptotic p..:

Jeong, Seok-Oh ; Park, Byeong U ; Simar, Léopold
info:eu-repo/grantAgreement/Belgian Science Policy/IAP/Statistical techniques and modelling for complex substantive questions with complex data. , 2006

Link: http://hdl.handle.net/20..

6

Nonparametric productivity analysis:

Härdle, Wolfgang Karl ; Jeong, Seok-Oh
Series: SFB 649 Discussion Paper. , 2005

Link: http://hdl.handle.net/10..

7

Linearly interpolated FDH efficiency score for nonconvex fr..:

Jeong, Seok-Oh ; Simar, Léopold
info:eu-repo/grantAgreement/Belgian Science policy/IAP/Statistical techniques and modelling for complex substantive questions with complex data. , 2005

Link: http://hdl.handle.net/20..

8

Nonparametric risk management with generalized hyperbolic d..:

Chen, Ying ; Härdle, Wolfgang Karl ; Jeong, Seok-Oh
Series: SFB 649 Discussion Paper. , 2005

Link: http://hdl.handle.net/10..

9

Linearly interpolated FDH efficiency score for nonconvex fr..:

Jeong, Seok-Oh ; Simar, Léopold
info:eu-repo/grantAgreement/Belgian Science policy/IAP/Statistical techniques and modelling for complex substantive questions with complex data. , 2005

Link: http://hdl.handle.net/20..

10