Local linear regression with reciprocal inverse Gaussian kernel
Sign Up to like & getrecommendations! Published in 2019 at "Metrika"
DOI: 10.1007/s00184-019-00717-6
Abstract: In this paper, we propose a local linear estimator for the regression model $$Y=m(X)+\varepsilon $$Y=m(X)+ε based on the reciprocal inverse Gaussian kernel when the design variable is supported on $$(0,\infty )$$(0,∞). The conditional mean-squared error… read more here.
Keywords: regression; inverse gaussian; estimator; local linear ... See more keywords
Local Linear Model Tree with Optimized Structure
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
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
Data-driven parameterization of polymer electrolyte membrane fuel cell models via simultaneous local linear structured state space identification
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Hydrogen Energy"
DOI: 10.1016/j.ijhydene.2021.01.037
Abstract: Abstract In order to mitigate the degradation and prolong the lifetime of polymer electrolyte membrane fuel cells, advanced, model-based control strategies are becoming indispensable. Thereby, the availability of accurate yet computationally efficient fuel cell models… read more here.
Keywords: local linear; fuel; polymer electrolyte; electrolyte membrane ... See more keywords
A novel forecasting model based on a hybrid processing strategy and an optimized local linear fuzzy neural network to make wind power forecasting: A case study of wind farms in China
Sign Up to like & getrecommendations! Published in 2017 at "Renewable Energy"
DOI: 10.1016/j.renene.2016.10.030
Abstract: As a crucial issue in the wind power industry, it is a tough and challenging task to predict the wind power accurately because of its nonlinearity, non-stationary and chaos. In this paper, we propose a… read more here.
Keywords: wind; local linear; model; wind power ... See more keywords
Local Linear Regression and the problem of dimensionality: a remedial strategy via a new locally adaptive bandwidths selector
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2022.2026895
Abstract: Local Linear Regression (LLR) is a nonparametric regression model applied in the modeling phase of Response Surface Methodology (RSM). LLR does not make reference to any fixed parametric model. Hence, LLR is flexible and can… read more here.
Keywords: linear regression; local linear; regression; adaptive bandwidths ... See more keywords
Local linear estimate of the point at high risk: Spatial functional data case
Sign Up to like & getrecommendations! Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2019.1580735
Abstract: Abstract The purpose of the present paper is to investigate by the local linear method a nonparametric estimator of the point at high risk of scalar response variable given a functional variable when the observations… read more here.
Keywords: local linear; point high; high risk; linear estimate ... See more keywords
Spatial local linear estimation of the L1-conditional quantiles for functional regressors
Sign Up to like & getrecommendations! Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2019.1620781
Abstract: Abstract L1-norm approach is used to construct the local linear estimator of the spatial regression quantile for functional regressors. Under mixing spatial condition, we establish the almost complete convergence of the constructed approach. The applicability… read more here.
Keywords: estimation conditional; local linear; linear estimation; functional regressors ... See more keywords
New Results on the Local Linear Convergence of ADMM: A Joint Approach
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2020.3033512
Abstract: Thanks to its versatility, its simplicity, and its fast convergence, alternating direction method of multipliers (ADMM) is among the most widely used approaches for solving a convex problem in distributed form. However, making it running… read more here.
Keywords: linear convergence; convergence admm; local linear; new results ... See more keywords
Extracting Inherent Model Structures and Identifying Parameters of Time-Varying Systems Using Local Linear Neuro-Fuzzy Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2020.3034972
Abstract: The main challenges in identifying time-varying systems are to extract the inherent model structure and formulate a generic approach for various time-varying processes. In this article, a local linear neuro-fuzzy networks based approach is proposed… read more here.
Keywords: time; varying systems; local linear; model ... See more keywords
A Fast Algorithm for High Accuracy Airborne SAR Geolocation Based on Local Linear Approximation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3165255
Abstract: Synthetic aperture radar (SAR) is a kind of high-resolution imaging radar, which can work in any weather conditions and is often used for target positioning. Airborne SAR has the advantages of flexible scanning geometry and… read more here.
Keywords: local linear; geolocation; positioning accuracy; airborne sar ... See more keywords
Dual-weight local linear embedding algorithm based on adaptive neighborhood
Sign Up to like & getrecommendations! Published in 2022 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/01423312221131848
Abstract: Local linear embedding (LLE) algorithm mainly depends on local structures to extract significant features; however, the local structures are sensitive to the selection of neighborhood parameters. To solve this problem, the dual-weight local linear embedding… read more here.
Keywords: local linear; linear embedding; dual weight; algorithm ... See more keywords