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Non-parametric Spectral Model for Shape Retrieval
2015 International Conference on 3D Vision, 2015Non-rigid 3D shape retrieval is an active and important research topic in content based object retrieval. This problem is often cast in terms of the shapes intrinsic geometry due to its invariance to a wide range of non-rigid deformations. In this paper, we devise a novel generative model for shape retrieval based on the spectral representation of the ...
Andrea Gasparetto +2 more
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Simulated Non-Parametric Estimation of Dynamic Models
Review of Economic Studies, 2009Summary: This paper introduces a new class of parameter estimators for dynamic models, called simulated non-parametric estimators (SNEs). The SNE minimizes appropriate distances between non-parametric conditional (or joint) densities estimated from sample data and non-parametric conditional (or joint) densities estimated from data simulated out of the ...
Filippo Altissimo, Antonio Mele
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Random effects models with non‐parametric priors
Statistics in Medicine, 1992AbstractWe discuss the performance of non‐parametric maximum likelihood (NPML) estimators for the distribution of a univariate random effect in the analysis of longitudinal data. For continuous data, we analyse generated and real data sets, and compare the NPML method to those that assume a Gaussian random effects distribution and to ordinary least ...
S M, Butler, T A, Louis
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A non-parametric Bayesian model for bounded data
Pattern Recognition, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thanh Minh Nguyen 0001 +1 more
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Non-parametric habitat models with automatic interactions
Journal of Vegetation Science, 2006AbstractQuestions:Can a statistical model be designed to represent more directly the nature of organismal response to multiple interacting factors? Can multiplicative kernel smoothers be used for this purpose? What advantages does this approach have over more traditional habitat modelling methods?Methods:Non‐parametric multiplicative regression (NPMR ...
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Homothetic non-parametric production models
Economics Letters, 1994zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Primont, Daniel, Primont, Diane
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Non Parametric Models for Covergence Analysis in Europe
2004[RELAZIONE]
PACINI, BARBARA, PELLEGRINI G.
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A non-parametric model for Ballistocardiography
2014 IEEE Workshop on Statistical Signal Processing (SSP), 2014Yu Yao +3 more
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Local Likelihood for Non-Parametric ARCH(1) Models
SSRN Electronic Journal, 2003Abstract. We propose a non‐parametric local likelihood estimator for the log‐transformed autoregressive conditional heteroscedastic (ARCH) (1) model. Our non‐parametric estimator is constructed within the likelihood framework for non‐Gaussian observations: it is different from standard kernel regression smoothing, where the innovations are assumed to ...
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