Results 71 to 80 of about 334,334 (190)
Nonparametric detection using extreme-value theory [PDF]
Nonparametric extreme value statistics for constant signal detection in additive ...
Milstein, L. B. +2 more
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Confidence bands in nonparametric time series regression
, 2008 We consider nonparametric estimation of mean regression and conditional variance (or volatility) functions in nonlinear stochastic regression models.
Wu, Wei Biao, Zhao, Zhibiao
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Random coefficient regressions: parametric goodness of fit tests [PDF]
, 1995 Random coefficient regression models have been applied in different fields during recent years and they are a unifying frame for many statistical models.
Delicado, Pedro, Romo, Juan
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Biomédica: revista del Instituto Nacional de Salud, 2006 Introducción. La cuantificación del virus de inmunodeficiencia humana (VIH) es una herramienta útil para el manejo de los pacientes infectados. Diferentes técnicas se encuentran disponibles en Colombia para ese propósito. Objetivo.
Patricia Olaya, Carlos A. Díaz Granados
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Estimation and model specification testing in nonparametric and semiparametric econometric models [PDF]
This paper considers two classes of semiparametric nonlinear regression models, in which nonlinear components are introduced to reflect the nonlinear fluctuation in the mean.
Gao, Jiti, King, Maxwell
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Co-clustering separately exchangeable network data
, 2014 This article establishes the performance of stochastic blockmodels in addressing the co-clustering problem of partitioning a binary array into subsets, assuming only that the data are generated by a nonparametric process satisfying the condition of ...
Choi, David, Wolfe, Patrick J.
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Approximations of Semicontinuous Functions with Applications to Stochastic Optimization and Statistical Estimation [PDF]
, 2019 Upper semicontinuous (usc) functions arise in the analysis of maximization problems, distributionally robust optimization, and function identification, which includes many problems of nonparametric statistics.
Royset, Johannes O.
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, 2014 This paper is about two related decision theoretic problems, nonparametric two-sample testing and independence testing. There is a belief that two recently proposed solutions, based on kernels and distances between pairs of points, behave well in high ...
Póczos, Barnabás +4 more
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The benchden Package: Benchmark Densities for Nonparametric Density Estimation
Journal of Statistical Software, 2012 This article describes the benchden package which implements a set of 28 example densities for nonparametric density estimation in R. In addition to the usual functions that evaluate the density, distribution and quantile functions or generate random ...
Thoralf Mildenberger, Henrike Weinert
doaj
SCAD-penalized regression in high-dimensional partially linear models
, 2009 We consider the problem of simultaneous variable selection and estimation in partially linear models with a divergent number of covariates in the linear part, under the assumption that the vector of regression coefficients is sparse.
Huang, Jian, Xie, Huiliang
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