Park, Byeong U.
3881  Ergebnisse:
Personensuche X
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1

Partially Linear Additive Regression with a General Hilbert..:

Cho, Sungho ; Jeon, Jeong Min ; Kim, Dongwoo..
Journal of the American Statistical Association.  119 (2023)  546 - p. 942-956 , 2023
 
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2

Hilbertian additive regression with parametric help:

Lee, Young Kyung ; Mammen, Enno ; Park, Byeong U.
Journal of Nonparametric Statistics.  35 (2023)  3 - p. 622-641 , 2023
 
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3

Intrinsic Hölder classes of density functions on Riemannian..:

Ki, Dohyeong ; Park, Byeong U.
Statistics & Probability Letters.  169 (2021)  - p. 108959 , 2021
 
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4

ADDITIVE REGRESSION WITH HILBERTIAN RESPONSES:

Jeon, Jeong Min ; Park, Byeong U.
The Annals of Statistics.  48 (2020)  5 - p. 2671-2697 , 2020
 
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5

Smooth backfitting for errors-in-variables varying coeffici..:

Han, Kyunghee ; Lee, Young K. ; Park, Byeong U.
Computational Statistics & Data Analysis.  145 (2020)  - p. 106909 , 2020
 
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7

Additive Functional Regression for Densities as Responses:

Han, Kyunghee ; Müller, Hans-Georg ; Park, Byeong U.
Journal of the American Statistical Association.  115 (2019)  530 - p. 997-1010 , 2019
 
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9

Kernel excess mass test for multimodality:

Lee, Seonmi ; Jang, Woncheol ; Park, Byeong U.
Australian & New Zealand Journal of Statistics.  60 (2018)  1 - p. 115-131 , 2018
 
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12

SMOOTH BACKFITTING FOR ERRORS-IN-VARIABLES ADDITIVE MODELS:

Han, Kyunghee ; Park, Byeong U.
The Annals of Statistics.  46 (2018)  5 - p. 2216-2250 , 2018
 
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13

Time-dynamic varying coefficient models for longitudinal da..:

Lee, Kyeongeun ; Lee, Young K. ; Park, Byeong U..
Computational Statistics & Data Analysis.  123 (2018)  - p. 50-65 , 2018
 
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14

OPERATIONAL TIME AND IN-SAMPLE DENSITY FORECASTING:

Lee, Young K. ; Mammen, Enno ; Nielsen, Jens P..
The Annals of Statistics.  45 (2017)  3 - p. 1312-1341 , 2017
 
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15

Nonparametric estimation of dynamic discrete choice models ..:

Park, Byeong U. ; Simar, Léopold ; Zelenyuk, Valentin
Computational Statistics & Data Analysis.  108 (2017)  - p. 97-120 , 2017
 
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