Semiparametric model averaging prediction for dichotomous response
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Econometrics"
DOI: 10.1016/j.jeconom.2020.09.008
Abstract: Abstract Model averaging has attracted abundant attentions in the past decades as it emerges as an impressive forecasting device in econometrics, social sciences and medicine. So far most developed model averaging methods focus only on… read more here.
Keywords: dichotomous response; model averaging; semiparametric model; model ... See more keywords
Estimation for optimal treatment regimes with survival data under semiparametric model
Sign Up to like & getrecommendations! Published in 2020 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2020.1808686
Abstract: Abstract In this paper, we consider a semiparametric model to find the optimal treatment regimes. A-learning type equation method is proposed to construct a doubly robust estimating equation for the parameters of interest in the… read more here.
Keywords: optimal treatment; estimation optimal; semiparametric model; treatment regimes ... See more keywords
Semiparametric Model-Based Adaptive Control for Aortic Pressure Regulation in Ex Situ Heart Perfusion
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3192603
Abstract: This article presents a semiparametric model-based adaptive control method for the regulation of aortic pressure (AoP) in an ex situ heart perfusion (ESHP) system. The semiparameter dynamic model of the perfusion system includes a three-element… read more here.
Keywords: tex math; inline formula; perfusion; model ... See more keywords
Statistical Inference for Estimators in a Semiparametric EV Model with Linear Process Errors and Missing Responses
Sign Up to like & getrecommendations! Published in 2023 at "Mathematical Problems in Engineering"
DOI: 10.1155/2023/2547329
Abstract: This paper concentrates on the properties of estimators in a semiparametric EV model, particularly considering the effects of missing data and linear process errors according to the actual situation. The missing data are processed by… read more here.
Keywords: linear process; estimators semiparametric; semiparametric model; process errors ... See more keywords