Multiple order model migration and optimal model selection for online glucose prediction in Type 1 diabetes
Sign Up to like & getrecommendations! Published in 2018 at "Aiche Journal"
DOI: 10.1002/aic.15983
Abstract: In order to address the problem of insufficient available modelling data for glucose prediction, as well as modelling burden, a model migration method was developed in a previous work to quickly transfer an old model… read more here.
Keywords: model migration; order; multiple order; model ... See more keywords
Dynamic contrast‐enhanced MRI model selection for predicting tumor aggressiveness in papillary thyroid cancers
Sign Up to like & getrecommendations! Published in 2019 at "NMR in Biomedicine"
DOI: 10.1002/nbm.4166
Abstract: The purpose of this study was to identify the optimal tracer kinetic model from T1‐weighted dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) data and evaluate whether parameters estimated from the optimal model predict tumor aggressiveness determined… read more here.
Keywords: papillary thyroid; model; dynamic contrast; contrast enhanced ... See more keywords
Optimal model averaging forecasting in high-dimensional survival analysis
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Forecasting"
DOI: 10.1016/j.ijforecast.2020.12.004
Abstract: Abstract This article considers ultrahigh-dimensional forecasting problems with survival response variables. We propose a two-step model averaging procedure for improving the forecasting accuracy of the true conditional mean of a survival response variable. The first… read more here.
Keywords: survival response; model; optimal model; model averaging ... See more keywords
Optimal model averaging estimator for expectile regressions
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Statistical Planning and Inference"
DOI: 10.1016/j.jspi.2021.08.003
Abstract: Abstract In this paper, we consider model averaging for expectile regressions, which are common in many fields. The J -fold cross-validation criterion is developed to determine averaging weights. Under some regularity conditions, we prove that… read more here.
Keywords: averaging estimator; expectile regressions; model averaging; model ... See more keywords
H2 Optimal Model Order Reduction Over a Finite Time Interval
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2022.3164036
Abstract: For a time-limited H2 cost function defined over a finite time interval, we obtain analytical expressions of the gradients using a gramian framework. The time-limited H2 optimal model reduction problem is non-convex. In order to… read more here.
Keywords: time; time interval; finite time; optimal model ... See more keywords
An Augmented Lagrangian Method for the Optimal Model Order Reduction Problem
Sign Up to like & getrecommendations! Published in 2017 at "Mathematical Problems in Engineering"
DOI: 10.1155/2017/8230978
Abstract: This paper treats the computational method of the optimal model order reduction (MOR) problem of linear time-invariant (LTI) systems. Optimal solution of MOR problem of LTI systems can be obtained by solving the LMIs feasibility… read more here.
Keywords: method optimal; method; model order; order reduction ... See more keywords
Identification of the Optimal Model for the Prediction of Diabetic Retinopathy in Chinese Rural Population: Handan Eye Study
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Diabetes Research"
DOI: 10.1155/2022/4282953
Abstract: Background To identify an optimal model for diabetic retinopathy (DR) prediction in Chinese rural population by establishing and comparing different algorithms based on the data from Handan Eye Study (HES). Methods Five algorithms, including multivariable… read more here.
Keywords: rural population; diabetic retinopathy; optimal model; prediction ... See more keywords
Analytical Design of Optimal Model Predictive Control and Its Application in Small-Scale Helicopters
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DOI: 10.3390/math11081845
Abstract: A new method for controlling the position and speed of a small-scale helicopter based on optimal model predictive control is presented in this paper. In the proposed method, the homotopy perturbation technique is used to… read more here.
Keywords: optimal model; model predictive; predictive control; small scale ... See more keywords
Zebrafish—An Optimal Model in Experimental Oncology
Sign Up to like & getrecommendations! Published in 2022 at "Molecules"
DOI: 10.3390/molecules27134223
Abstract: A thorough understanding of cancer pathogenesis is a necessary step in the development of more effective and safer therapy. However, due to the complexity of the process and intricate interactions, studying tumor development is an… read more here.
Keywords: oncology; optimal model; experimental oncology; zebrafish optimal ... See more keywords
Residential aged care: there is no single optimal model
Sign Up to like & getrecommendations! Published in 2018 at "Medical Journal of Australia"
DOI: 10.5694/mja18.00268
Abstract: Victorian Institute of Forensic Med otwithstanding the remarkable and unique achievement Nof the innovative, complex and detailed investigation by Dyer and colleagues, we should examine the findings and their implications carefully. The study is timely,… read more here.
Keywords: aged care; optimal model; residential aged; care single ... See more keywords
Optimal Model Averaging Based on Generalized Method of Moments
Sign Up to like & getrecommendations! Published in 2021 at "Statistica Sinica"
DOI: 10.5705/ss.202019.0230
Abstract: We propose a model averaging method to combine estimators from the generalized method of moments (GMM). Unlike other GMM-based model averaging procedures, this method allows all candidate models to be misspecified (not locally misspecified). We… read more here.
Keywords: model averaging; method; method moments; model ... See more keywords