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stat.ME2022
Bayesian estimation of the autocovariance of a model error in time series
Yoon Bae Jun, Chae Young Lim, Kun Ho Kim
Autocovariance of the error term in a time series model plays a key role in the estimation and inference for the model that it belongs to. Typically, some arbitrary parametric stru…
stat.ME2022★ 2 cited
Regularized Nonlinear Regression with Dependent Errors and its Application to a Biomechanical Model
Hojun You, Kyubaek Yoon, Wei-Ying Wu +2
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 tr…