Results 21 to 30 of about 369,804 (310)
NONPARAMETRIC SIGNIFICANCE TESTING [PDF]
Econometric Theory, 2000 A procedure for testing the significance of a subset of explanatory variables in a nonparametric regression is proposed. Our test statistic uses the kernel method. Under the null hypothesis of no effect of the variables under test, we show that our test statistic has an nhp2/2 standard normal limiting distribution, where p2 is the dimension of ...
Lavergne, Pascal, Vuong, Quang H.
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A nonparametric measure of heteroskedasticity [PDF]
Journal of Statistical Planning and Inference, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Song, Xiaojun, Taamouti, Abderrahim
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kdecopula: An R Package for the Kernel Estimation of Bivariate Copula Densities
Journal of Statistical Software, 2018 We describe the R package kdecopula (current version 0.9.2), which provides fast implementations of various kernel estimators for the copula density. Due to a variety of available plotting options it is particularly useful for the exploratory analysis of
Thomas Nagler
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A nonparametric test of exogeneity [PDF]
, 2004 This paper is concerned with inference about a function g that is identified by a conditional moment restriction involving instrumental variables. The function is nonparametric. It satisfies mild regularity conditions but is otherwise unknown. The paper
Richard Blundell +5 more
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Online nonparametric Bayesian analysis of parsimonious Gaussian mixture models and scenes clustering
ETRI Journal, 2020 The mixture model is a very powerful and flexible tool in clustering analysis. Based on the Dirichlet process and parsimonious Gaussian distribution, we propose a new nonparametric mixture framework for solving challenging clustering problems. Meanwhile,
Ri‐Gui Zhou, Wei Wang
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Nonparametric and Semi‐Nonparametric Recreational Demand Analysis [PDF]
American Journal of Agricultural Economics, 2000 AbstractThis paper addresses issues of specification testing for the travel cost method (TCM). Two nonparametric approaches to TCM analysis are presented. In addition, semi‐nonparametric count models for TCM are developed. A numerical illustration is provided in which the three methods are applied to an actual TCM data set on waterfowl hunting and the ...
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Pointwise universal consistency of nonparametric linear estimators [PDF]
, 2004 This paper presents sufficient conditions for pointwise universal consistency of nonparametric delta estimators.
Vidal-Sanz, Jose M.
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Mathematics, 2023 Geostatistics data in regions always have highly spatial heterogeneous, yet the regional features of the data itself cannot be ignored. In this paper, a novel latent Bayesian spatial model is proposed, which incorporates the spatial dependence of ...
Zongyuan Xia +4 more
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An Information-Based Approach for Mediation Analysis on High-Dimensional Metagenomic Data
Frontiers in Genetics, 2020 The human microbiome plays a critical role in the development of gut-related illnesses such as inflammatory bowel disease and clinical pouchitis. A mediation model can be used to describe the interaction between host gene expression, the gut microbiome ...
Kyle M. Carter +5 more
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Open Agriculture, 2021 Multilocation experiments are the steps to determine the genotype stability being tested. Honey sweet potato is a superior agricultural product from West Java, Indonesia.
Karuniawan Agung +6 more
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