Results 71 to 80 of about 2,509,073 (310)
Robust nonparametric regression: Review and practical considerations
Econometrics and Statistics, 2023 Nonparametric regression models offer a way to understand and quantify relationships between variables without having to identify an appropriate family of possible regression functions. Although many estimation methods for these models have been proposed in the literature, most of them can be highly sensitive to the presence of a small proportion of ...
openaire +2 more sources
Nonparametric Conditional Inference for Regression Coefficients with Application to Configural Polysampling [PDF]
, 2007 We consider inference procedures, conditional on an observed ancillary statistic, for regression coefficients under a linear regression setup where the unknown error distribution is specified nonparametrically.
Ho, Yvonne, Lee, Stephen
core +1 more source
Controlling 3D Contractility via Engineered Fibrous Hydrogel Composites
Advanced Functional Materials, EarlyView.A tunable composite contractile assembly (CCA) is developed that can permit or resist contraction without changing cell‐adhesion and density, unlike collagen whose inherent coupling of these ECM cues limits its use as a platform in contractility studies.
Karen L. Xu +7 more
wiley +1 more source
Frontiers in Psychology, 2020 A SEM-based approach using likelihood-based confidence interval (LBCI) has been proposed to form confidence intervals for unstandardized and standardized indirect effect in mediation models. However, when used with the maximum likelihood estimation, this
Ivan Jacob Agaloos Pesigan +1 more
doaj +1 more source
A Family of Nonparametric Density Estimation Algorithms
, 2013 A new methodology for density estimation is proposed. The methodology, which builds on the one developed by Tabak and Vanden‐Eijnden, normalizes the data points through the composition of simple maps. The parameters of each map are determined through the
E. Tabak, C. Turner
semanticscholar +1 more source
, 2020 In this paper, sixty-eight research articles published between 2000 and 2017 as well as textbooks which employed four classification algorithms: K-Nearest-Neighbor (KNN), Support Vector Machines (SVM), Random Forest (RF) and Neural Network (NN) as the ...
E. Y. Boateng, Joseph Otoo., D. Abaye
semanticscholar +1 more source
Advanced Functional Materials, EarlyView.This paper introduces a single‐channel H‐junction microfluidic assay that profiles fibrin's evolving function in repair and thrombosis by measuring, in one ∼3 µL gel, permeability, fibrinolysis kinetics, fibroblast invasion, and clot extension in real time.
Halston Deal +9 more
wiley +1 more source
Nonparametric inference for interventional effects with multiple mediators
Journal of Causal Inference, 2021 Understanding the pathways whereby an intervention has an effect on an outcome is a common scientific goal. A rich body of literature provides various decompositions of the total intervention effect into pathway-specific effects.
Benkeser David, Ran Jialu
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New Entropy Estimator with an Application to Test of Normality
, 2011 In the present paper we propose a new estimator of entropy based on smooth estimators of quantile density. The consistency and asymptotic distribution of the proposed estimates are obtained. As a consequence, a new test of normality is proposed.
Bouzebda, Salim +3 more
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Advanced Healthcare Materials, EarlyView.AngioPlate384 is a 384‐well open‐top platform that automates production of more than 100 miniaturized, perfusable blood vessels embedded in hydrogel and supported by stromal cells. Stromal‐endothelial co‐culture strengthens blood vessel barrier function and yields responses useful for translational planning. Scalable and automation‐ready, it suits drug
Dawn S. Y. Lin +14 more
wiley +1 more source