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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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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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Nonparametric predictive regression [PDF]
Journal of Econometrics, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kasparis, Ioannis +5 more
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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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MatchIt: Nonparametric Preprocessing for Parametric Causal Inference
, 2011 MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2007) for improving parametric statistical models by preprocessing data with nonparametric matching methods.
Daniel E. Ho +3 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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Nonparametric regression using deep neural networks with ReLU activation function [PDF]
Annals of Statistics, 2017 Consider the multivariate nonparametric regression model. It is shown that estimators based on sparsely connected deep neural networks with ReLU activation function and properly chosen network architecture achieve the minimax rates of convergence (up to $
J. Schmidt-Hieber
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Nonparametric Productivity Analysis [PDF]
SSRN Electronic Journal, 2005 How can we measure and compare the relative performance of production units? If input and output variables are one dimensional, then the simplest way is to compute efficiency by calculating and comparing the ratio of output and input for each production unit.
Wolfgang Härdle, Seok-Oh Jeong
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Nonparametric Interaction Selection
Statistica Sinica, 2022 cancelled due to Covid ...
Yushen Dong (185193), Yichao Wu (259129)
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