Results 21 to 30 of about 4,333,581 (301)
Density-Difference Estimation [PDF]
Neural Computation, 2013 We address the problem of estimating the difference between two probability densities. A naive approach is a two-step procedure of first estimating two densities separately and then computing their difference. However, this procedure does not necessarily work well because the first step is performed without regard to the second step, and thus a small ...
Masashi Sugiyama +5 more
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Using conditional kernel density estimation for wind power density forecasting [PDF]
, 2012 Of the various renewable energy resources, wind power is widely recognized as one of the most promising. The management of wind farms and electricity systems can benefit greatly from the availability of estimates of the probability distribution of wind ...
Jeon, Jooyoung +3 more
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Applied Sciences, 2022 We consider the use of remote sensing for large-scale monitoring of agricultural land use, focusing on classification of tillage and vegetation cover for individual field parcels across large spatial areas.
Markku Luotamo +2 more
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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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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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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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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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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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