Results 21 to 30 of about 310,119 (204)
Asymptotic Behavior of a Nonparametric Estimator of the Renewal Function for Random Fields
Mathematics, 2023 In this paper, we study the asymptotic normality of a nonparametric estimator of the renewal function associated with a sequence of absolutely continuous nonnegative two-dimensional random fields.
Livasoa Andriamampionona +2 more
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On properties of local additive estimation based on the smooth backfitting estimator. [PDF]
, 2008 We study properties of local additive estimation based on the smooth backfitting estimator by Mammen, Linton and Nielsen (1999). The local additive estimator defined as a restricted additive estimator and thus inherits locally properties of additive ...
Seifert, Burkhardt, Park, Juhyun
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Journal of Causal Inference, 2023 There is a long-standing debate in the statistical, epidemiological, and econometric fields as to whether nonparametric estimation that uses machine learning in model fitting confers any meaningful advantage over simpler, parametric approaches in finite ...
Rudolph Kara E. +4 more
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Mathematics, 2022 Geographically Weighted Regression (GWR) is the development of multiple linear regression models used in spatial data. The assumption of spatial heterogeneity results in each location having different characteristics and allows the relationships between ...
Lilis Laome +2 more
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A COMPARISON OF NONPARAMETRIC ESTIMATORS FOR LENGTH DISTRIBUTION IN LINE SEGMENT PROCESSES
Image Analysis and Stereology, 2019 We study nonparametric estimation of the length distribution for stationary line segment processes in the d-dimensional Euclidean space. Several methods have been proposed in the literature. We review different approaches (Horvitz-Thompson type estimator,
Zbynek Pawlas, Marketa Zikmundova
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Regularization of nonparametric frontier estimators [PDF]
Journal of Econometrics, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Daouia, Abdelaati +2 more
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Nonparametric Range-Based Double Smoothing Spot Volatility Estimation for Diffusion Models
Complexity, 2020 We consider nonparametric spot volatility estimation for diffusion models with discrete high frequency observations. Our estimator is carried out in two steps.
Jingwei Cai
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Nonparametric ridge estimation
The Annals of Statistics, 2014 Published in at http://dx.doi.org/10.1214/14-AOS1218 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Genovese Christopher R. +3 more
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Barekeng, 2022 ISSI reflects the movement of sharia stock prices as a whole. It is necessary to forecast the share price to help investors determine whether the shares should be sold, bought, or retained. This study aims to predict the value of ISSI using nonparametric
Yuniar Farida +2 more
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On Nonparametric Hazard Estimation [PDF]
Journal of Biometrics & Biostatistics, 2015 The Nelson-Aalen estimator provides the basis for the ubiquitous Kaplan-Meier estimator, and therefore is an essential tool for nonparametric survival analysis. This article reviews martingale theory and its role in demonstrating that the Nelson-Aalen estimator is uniformly consistent for estimating the cumulative hazard function for right-censored ...
openaire +2 more sources