Results 41 to 50 of about 12,193,766 (206)
Hybrid Fourier series and smoothing spline path non-parametrics estimation model
Frontiers in Applied Mathematics and Statistics, 2023 Pathway analysis is one way to determine whether there is a causal relationship between extrinsic and intrinsic factors. The linearity assumption is something that can change the model. The shape of the model is subject to linearity assumptions.
Atiek Iriany +1 more
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Non‐parametric regression under location shifts
The Econometrics Journal, 2011 Summary: Recent work by \textit{Q. Wang} and \textit{P. C. B. Phillips} [Econometrica 77, No. 6, 1901--1948 (2009; Zbl 1182.62088); Econom. Theory 27, No. 2, 235--259 (2011; Zbl 1210.62126)] has shown that ill-posed inverse problems do not arise in non-stationary nonparametric regression and there is no need for nonparametric instrumental variable ...
PHILLIPS, Peter C. B., SU, Liangjun
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A non-parametric investigation of risk premia [PDF]
This paper investigates features of credit risk using non-parametric techniques, studying determinants of risk premia using a non-parametric term-structure model of the corporate spread. The model, which measures the extra return of defaultable corporate
Peroni, Chiara
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Bayesian Geoadditive Seemingly Unrelated Regression [PDF]
, 2002 Parametric seemingly unrelated regression (SUR) models are a common tool for multivariate regression analysis when error variables are reasonably correlated, so that separate univariate analysis may result in inefficient estimates of covariate effects. A
Steiner, Winfried J. +3 more
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PLoS ONE, 2021 This paper investigated the appropriate specifications of Engel curves for non-food expenditure categories and estimated the deprivation indices of non-food needs in rural areas using a semi parametric examination of the presence of saturation points ...
Fuad A Awwad +2 more
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Abstract Unlike Chap. 6, this chapter focuses on non-parametric transformations of both the response and the explanatory variables. Transformation of the explanatory variables uses the Generalized Additive Model (GAM), described in Sect. 7.2.
Anthony C. Atkinson +4 more
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Optimizing Image Focus for Shape From Focus Through Locally Weighted Non-Parametric Regression
IEEE Access, 2019 Shape from focus is a passive optical technique that uses multiple images with different focus levels. To compute the sharpness of each pixel in the image sequence, obtained by translating the object plane at a constant step size along the optical axis ...
Hoon-Seok Jang +2 more
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Smoothing migration intensities with P-TOPALS
Demographic Research, 2020 Background: Age-specific migration intensities often display irregularities that need to be removed by graduation, but two current methods for doing so, parametric model migration schedules and non-parametric kernel regression, have their limitations ...
Sigurd Dyrting
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Non-parametric genetic prediction of complex traits with latent Dirichlet process regression models
Nature Communications, 2017 Genetic prediction of complex traits with polygenic architecture has wide application from animal breeding to disease prevention. Here, Zeng and Zhou develop a non-parametric genetic prediction method based on latent Dirichlet Process regression models.
Ping Zeng, Xiang Zhou
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Remote Sensing, 2018 Unmanned aerial vehicle (UAV)-based remote sensing (RS) possesses the significant advantage of being able to efficiently collect images for precision agricultural applications.
Hengbiao Zheng +9 more
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