Semiparametric analysis of a generalized linear model with multiple covariates subject to detection limits
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9536
Abstract: Studies on the health effects of environmental mixtures face the challenge of limit of detection (LOD) in multiple correlated exposure measurements. Conventional approaches to deal with covariates subject to LOD, including complete‐case analysis, substitution methods,… read more here.
Keywords: generalized linear; covariates subject; model multiple; linear model ... See more keywords
Shrinkage estimation of the linear model with spatial interaction
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DOI: 10.1007/s00184-016-0590-z
Abstract: The linear model with spatial interaction has attracted huge attention in the past several decades. Different from most existing research which focuses on its estimation, we study its variable selection problem using the adaptive lasso.… read more here.
Keywords: linear model; spatial interaction; estimation; model ... See more keywords
Parameter identification based on linear model for buck converters
Sign Up to like & getrecommendations! Published in 2020 at "Electrical Engineering"
DOI: 10.1007/s00202-020-01080-w
Abstract: Parameter identification is an effective method to monitor the health condition of multiple components in power electronic converters. The hybrid model-based method has been proved to be a universal approach. However, the existing hybrid model… read more here.
Keywords: linear model; parameter identification; model; model buck ... See more keywords
Analysis of a non-linear model of populations structured by size
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DOI: 10.1007/s00233-020-10137-y
Abstract: The model we study deals with a population of marine invertebrates structured by size whose life stage is composed of adults and pelagic larvae such as barnacles contained in a local habitat. We prove existence… read more here.
Keywords: linear model; non linear; model; structured size ... See more keywords
Optimal designs for a linear-model compositional response
Sign Up to like & getrecommendations! Published in 2019 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-019-01755-2
Abstract: Compositional data play an important role in many disciplines, when the interest is in studying not the total amount but the relative importance or frequency of the involved variables. Due to these proportion/sum constraints, the… read more here.
Keywords: linear model; compositional response; designs linear; model compositional ... See more keywords
The Efficacy of Intolerance of Uncertainty Intervention on Anxiety and its Mediating Role by Multilayer Linear Model Analysis
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Psychopathology and Behavioral Assessment"
DOI: 10.1007/s10862-020-09832-5
Abstract: Cognitive bias modification-interpretation (CBM-I) is a promising treatment modality for emotional disorders. But the moderate effect sizes emphasize the need to explore the potential mechanism of the CBM-I. Recent research has identified intolerance of uncertainty… read more here.
Keywords: intervention; linear model; uncertainty; anxiety ... See more keywords
Genome-wide association mapping of flooding tolerance in soybean
Sign Up to like & getrecommendations! Published in 2019 at "Molecular Breeding"
DOI: 10.1007/s11032-019-1086-0
Abstract: Flooding threatens soybean production and limits soybean yields worldwide. The most effective and economic approach to decrease loss of yield due to flooding is to develop flood-tolerant soybean cultivars. The objective of this study was… read more here.
Keywords: linear model; genome wide; flooding tolerance; tolerance ... See more keywords
Spectral reflectance reconstruction with the locally weighted linear model
Sign Up to like & getrecommendations! Published in 2019 at "Optical and Quantum Electronics"
DOI: 10.1007/s11082-019-1887-8
Abstract: Spectral reflectance reconstruction by the local linear model has many advantages such as simple model structure, fast calculation speed and less chance to be over-fitting. However, local linear model often suffers from the outliers and… read more here.
Keywords: spectral reflectance; reflectance reconstruction; locally weighted; model ... See more keywords
Non-linear Model Predictive Control of Connected, Automatic Cars in a Road Network Using Optimal Control Methods
Sign Up to like & getrecommendations! Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.03.029
Abstract: Abstract In the aspiring field of autonomous driving the interaction of cars plays an important role. In particular finding optimal paths for each car whilst avoiding collision raises many problems whose resolutions are significant to… read more here.
Keywords: linear model; model predictive; control; non linear ... See more keywords
A linear model of turbulence: reproducing the Kolmogorov-spectrum
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DOI: 10.1016/j.ifacol.2018.03.100
Abstract: Abstract The understanding of turbulent flow and the turbulent energy cascade is a main unresolved problem in physics. To model the energy cascade (which refers to the energy transfer among the different scales of vortices),… read more here.
Keywords: kolmogorov spectrum; linear model; turbulence; energy ... See more keywords
Local Linear Model Tree with Optimized Structure
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DOI: 10.1016/j.ifacol.2020.12.1326
Abstract: Abstract This paper investigates the local linear model tree (LOLIMOT) with optimized structure. The performance of the LOLIMOT model depends on how the neurons are constructed. In the typical LOLIMOT model, the number of neurons… read more here.
Keywords: optimized structure; local linear; model; linear model ... See more keywords