Výsledky vyhledávání - "Yoon, Kyubaek"

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Spatial Regression With Multiplicative Errors, and Its Application With Lidar Measurements

Autor: You, Hojun, Wu, Wei-Ying, Lim, Chae Young, Yoon, Kyubaek, Choi, Jongeun

Multiplicative errors in addition to spatially referenced observations often arise in geodetic applications, particularly in surface estimation with light detection and ranging (LiDAR) measurements. However, spatial regression involving multiplicativ

Externí odkaz: http://arxiv.org/abs/2309.00760

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Regularized Nonlinear Regression with Dependent Errors and its Application to a Biomechanical Model

Autor: You, Hojun, Yoon, Kyubaek, Wu, Wei-Ying, Choi, Jongeun, Lim, Chae Young

Publikováno v: Annals of the Institute of Statistical Mathematics, 2024

A biomechanical model often requires parameter estimation and selection in a known but complicated nonlinear function. Motivated by observing that data from a head-neck position tracking system, one of biomechanical models, show multiplicative time d

Externí odkaz: http://arxiv.org/abs/2210.13550

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Regularized Nonlinear Regression for Simultaneously Selecting and Estimating Key Model Parameters

Autor: Yoon, Kyubaek, You, Hojun, Wu, Wei-Ying, Lim, Chae Young, Choi, Jongeun, Boss, Connor, Ramadan, Ahmed, Popovich Jr., John M., Cholewicki, Jacek, Reeves, N. Peter, Radcliffe, Clark J.

In system identification, estimating parameters of a model using limited observations results in poor identifiability. To cope with this issue, we propose a new method to simultaneously select and estimate sensitive parameters as key model parameters

Externí odkaz: http://arxiv.org/abs/2104.11426

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