Results 11 to 20 of about 19,668 (310)
Nonparametric Score Estimators
CoRR, 2020 Estimating the score, i.e., the gradient of log density function, from a set of samples generated by an unknown distribution is a fundamental task in inference and learning of probabilistic models that involve flexible yet intractable densities. Kernel estimators based on Stein's methods or score matching have shown promise, however their theoretical ...
Yuhao Zhou, Jiaxin Shi, Jun Zhu 0001
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Nonparametric Pointwise Estimation for a Regression Model with Multiplicative Noise
Journal of Function Spaces, 2021 In this paper, we consider a general nonparametric regression estimation model with the feature of having multiplicative noise. We propose a linear estimator and nonlinear estimator by wavelet method.
Jia Chen, Junke Kou
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NONPARAMETRIC ESTIMATION WITH AGGREGATED DATA [PDF]
Econometric Theory, 2002 We introduce a kernel-based estimator of the density function and regression function for data that have been grouped into family totals. We allow for a common intrafamily component but require that observations from different families be independent. We establish consistency and asymptotic normality for our procedures.
Oliver Linton, Yoon-Jae Whang
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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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Nonparametric instrumental variable estimation [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2018 In this article, we introduce the commands npiv and npivcv, which implement nonparametric instrumental-variable (NPIV) estimation methods without and with a cross-validated choice of tuning parameters, respectively. Both commands can impose the constraint that the resulting estimated function is monotone.
Denis Chetverikov +2 more
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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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NONPARAMETRIC ESTIMATION OF HOMOGENEOUS FUNCTIONS [PDF]
Econometric Theory, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tripathi, Gautam, Kim, Woocheol
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A Nonparametric Estimator of Species Overlap [PDF]
Biometrics, 2001 For two communities, species overlap has been defined by Smith, Solow, and Preston (1996, Biometrics 52, 1472-1477) as the probability that a randomly selected species is present in both communities given that it is present in at least one community. Species overlap can thus be used to describe the similarity of two communities.
Yue, Jack C. +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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