Results 11 to 20 of about 392,201 (264)
Bagging of density estimators [PDF]
Computational Statistics, 2019 In this work we give new density estimators by averaging classical density estimators such as the histogram, the frequency polygon and the kernel density estimators obtained over different bootstrap samples of the original data. We prove the L 2-consistency of these new estimators and compare them to several similar approaches by extensive simulations.
Bourel, Mathias, Cugliari, Jairo
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On Conditional Density Estimation [PDF]
Statistica Neerlandica, 2002 With the aim of mitigating the possible problem of negativity in the estimation of the conditional density function, we introduce a so‐called re‐weighted Nadaraya‐Watson (RNW) estimator. The proposed RNW estimator is constructed by a slight modification of the well‐known Nadaraya‐Watson smoother. With a detailed asymptotic analysis, we demonstrate that
de Gooijer, J.G., Zerom Godefay, D.
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Improved Initialization of the EM Algorithm for Mixture Model Parameter Estimation
Mathematics, 2020 A commonly used tool for estimating the parameters of a mixture model is the Expectation−Maximization (EM) algorithm, which is an iterative procedure that can serve as a maximum-likelihood estimator.
Branislav Panić +2 more
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Computer Graphics Forum, 2011 AbstractIn this work, we present a technique based on kernel density estimation for rendering smooth curves. With this approach, we produce uncluttered and expressive pictures, revealing frequency information about one, or, multiple curves, independent of the level of detail in the data, the zoom level, and the screen resolution.
Lampe, Ove Daae, Hauser, Helwig
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Estimating snow leopard and prey populations at large spatial scales
Ecological Solutions and Evidence, 2021 Effective management of charismatic large carnivores requires robust monitoring of their population at local, regional and global scales. While enormous progress has been made to estimate carnivore populations at local scales, estimates at regional and ...
Kulbhushansingh Suryawanshi +11 more
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Estimating insect pest density using the physiological index of crop leaf
Frontiers in Plant Science, 2023 Estimating population density is a fundamental study in ecology and crop pest management. The density estimation of small-scale animals, such as insects, is a challenging task due to the large quantity and low visibility. An herbivorous insect is the big
Meng Chen, Xiang-Dong Liu
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Multiwavelet density estimation [PDF]
Applied Mathematics and Computation, 2013 Preprint
Florida Institute of Technology, Department of Physics and Space Sciences West University Blvd., Melbourne, FL 32901, USA ( host institution ) +2 more
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Density estimation trees [PDF]
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, 2011 In this paper we develop density estimation trees (DETs), the natural analog of classification trees and regression trees, for the task of density estimation. We consider the estimation of a joint probability density function of a d-dimensional random vector X and define a piecewise constant estimator structured as a decision tree.
Parikshit Ram, Alexander G. Gray
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Density Estimation for RWRE [PDF]
Mathematical Methods of Statistics, 2019 We consider the problem of non-parametric density estimation of a random environment from the observation of a single trajectory of a random walk in this environment. We first construct a density estimator using the beta-moments. We then show that the Goldenshluger-Lepski method can be used to select the beta-moment.
Havet, Antoine +2 more
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Asymptotic Convergence of Soft-Constrained Neural Networks for Density Estimation
Mathematics, 2020 A soft-constrained neural network for density estimation (SC-NN-4pdf) has recently been introduced to tackle the issues arising from the application of neural networks to density estimation problems (in particular, the satisfaction of the second ...
Edmondo Trentin
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