Zobrazeno 1 - 10 of 48 pro vyhledávání: '"Kee-Hoon Kang"'
1
Local linear regression analysis for interval-valued data
Autor: Jang jungteak, Kee-Hoon Kang
Publikováno v: Communications for Statistical Applications and Methods. 27:365-376
Interval-valued data, a type of symbolic data, is given as an interval in which the observation object is not a single value. It can also occur frequently in the process of aggregating large databases into a form that is easy to manage. Various regre
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::88e9be8e2f95a10d2b884c72223e9e35
https://doi.org/10.29220/csam.2020.27.3.365
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4
Autocovariance Function Estimation via Penalized Regression
Autor: Lina Liao, Cheolwoo Park, Kee-Hoon Kang, Jan Hannig
Publikováno v: Journal of Computational and Graphical Statistics. 25:1041-1056
The work revisits the autocovariance function estimation, a fundamental problem in statistical inference for time series. We convert the function estimation problem into constrained penalized regression with a generalized penalty that provides us wit
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1403a9b6ba57fb2406e1cc93c76a9249
https://doi.org/10.1080/10618600.2015.1086356
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6
An exploratory data analysis in scale-space for interval-valued data
Autor: Cheolwoo Park, Yongho Jeon, Kee Hoon Kang
Publikováno v: Journal of Applied Statistics. 43:2643-2660
We propose an exploratory data analysis approach when data are observed as intervals in a nonparametric regression setting. The interval-valued data contain richer information than single-valued data in the sense that they provide both center and ran
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4e4993b8ef2fa2a83ef0f65144277a38
https://doi.org/10.1080/02664763.2016.1142947
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8
Akademický článek
Local linear regression analysis for interval-valued data.
Autor: Jungteak Jang, Kee-Hoon Kang
Publikováno v: Communications for Statistical Applications & Methods; May2020, Vol. 27 Issue 3, p365-376, 12p
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9
Portfolio Selection for Socially Responsible Investment via Nonparametric Frontier Models
Autor: Cheolwoo Park, Kee Hoon Kang, Young Jae Ryu, Seok-Oh Jeong, Andrew Hoss
Publikováno v: Communications for Statistical Applications and Methods. 20:115-127
This paper provides an effective stock portfolio screening tool for socially responsible investment (SRI) based upon corporate social responsibility (CSR) and financial performance. The proposed approach utilizes nonparametric frontier models. Data e
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e0500f50163c14833c671c01bc125639
https://doi.org/10.5351/csam.2013.20.2.115
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10
Asymptotics for a class of generalized multicast autoregressive processes
Autor: Sun Young Hwang, Kee-Hoon Kang
Publikováno v: Journal of the Korean Statistical Society. 41:543-554
We propose a new class of generalized multicast autoregressive (GMCAR, for short, hereafter) models indexed by a multi-casting tree where each individual produces exactly the same number of offspring. This class includes standard bifurcating autoregr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::47a5921340ef4fe9ec9f4267ca36ce2e
https://doi.org/10.1016/j.jkss.2012.04.002
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