Results 81 to 90 of about 2,481,616 (299)
Regression quantiles in nonparametric regression [PDF]
Journal of Nonparametric Statistics, 1994 In a nonparametric setup involving stochastic regressors, regression quantiles relate to the so called conditional quantile functions. Various asymptotic properties of such conditional quantile processes are studied with due emphasis on the underlying design aspects.
openaire +1 more source
Advanced Science, EarlyView.This study reveals that long non‐coding RNAs represent important regulatory components underlying pear domestication and improvement. Integrative multi‐omics analyses identify selected lncRNAs associated with fruit traits, while functional validation uncovers a lignin‐related lncRNA, lncRNA‐pys, that promotes lignin accumulation.
Bobo Song +9 more
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Strictly monotone and smooth nonparametric regression for two or more variables [PDF]
In this article a new monotone nonparametric estimate for a regression function of two or more variables is proposed. The method starts with an unconstrained nonparametric regression estimate and uses successively one-dimensional isotonization procedures.
Dette, Holger, Scheder, Regine
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Nonparametric Inference on Structural Breaks [PDF]
, 2000 This paper proposes estimators of location and size of structural breaks in a, possibly dynamic, nonparametric regression model. The structural breaks can be located at given periods of time and/or they can be explained by the values taken by some ...
Delgado, Miguel A. +3 more
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A New Nonparametric Regression for Longitudinal Data
علوم بهداشتی ایران, 2013 In many area of medical research, a relation analysis between one response variable and some explanatory variables is desirable. Regression is the most common tool in this situation.
Hamed Tabesh +2 more
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Genomic breeding value estimation using nonparametric additive regression models
Genetics Selection Evolution, 2009 Genomic selection refers to the use of genomewide dense markers for breeding value estimation and subsequently for selection. The main challenge of genomic breeding value estimation is the estimation of many effects from a limited number of observations.
Solberg Trygve +2 more
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Advanced Science, EarlyView.This study developed a dual‐targeting biomimetic nanozyme hybrid system (Cu‐CeO2@ABs‐FTP) and integrated it with HAMA hydrogel to fabricate a microneedle patch (CAF@MN). The patch promotes fibroblast‐mediated wound repair, targets macrophages to induce M2 polarization, and targets myofibroblasts to exert anti‐fibrotic effects, thereby enabling rapid ...
Hongyi Zhang +14 more
wiley +1 more source
Empirical likelihood estimators for the error distribution in nonparametric regression models [PDF]
The aim of this paper is to show that existing estimators for the error distribution in nonparametric regression models can be improved when additional information about the distribution is included by the empirical likelihood method.
Kiwitt, Sebastian +2 more
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COMPARATION ON SEVERAL SMOOTHING METHODS IN NONPARAMETRIC REGRESSION [PDF]
, 2011 There are three nonparametric regression methods covered in this section. These are Moving Average Filtering-Based Smoothing, Local Regression Smoothing, and Kernel Smoothing Methods.
Isnanto, R.Rizal, Rizal Isnanto, R
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Comparison of Spline Methods for estimating Nonparametric Regression Curve [PDF]
المجلة العراقية للعلوم الاحصائية, 2005 This research is focusing on methods related to smoothing Nonparametric Regression Functions. This is for the purpose of producing the best methods convenient for various methods.
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