Results 21 to 30 of about 724,098 (319)
Nonparametric Estimation from Incomplete Observations
, 1958 In lifetesting, medical follow-up, and other fields the observation of the time of occurrence of the event of interest (called a death) may be prevented for some of the items of the sample by the previous occurrence of some other event (called a loss ...
E. Kaplan, P. Meier
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Nonparametric Information Geometry [PDF]
, 2013 The differential-geometric structure of the set of positive densities on a given measure space has raised the interest of many mathematicians after the discovery by C.R. Rao of the geometric meaning of the Fisher information.
A. Ambrosetti +43 more
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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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Heterogeneity and the nonparametric analysis of consumer choice: conditions for invertibility [PDF]
, 2005 This paper considers structural nonparametric random utility models for continuous choice variables. It provides sufficient conditions on random preferences to yield reduced- form systems of nonparametric stochastic demand functions that allow global ...
Beckert, W., Blundell, R.
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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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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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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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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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