Results 31 to 40 of about 392,201 (264)
Density Estimation Through Convex Combinations of Densities: Approximation and Estimation Bounds [PDF]
We consider the problem of estimating a density function from a sequence identically distributed observations x(i) taking value in X subset R(d). The estimation procedure constructs a convex mixture of "basis" densities and estimates the parameters using the maximum likelihood method.
Assaf J. Zeevi, Ronny Meir
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Parameter estimation for stable distributions with application to commodity futures log-returns
This paper explores the theory behind the rich and robust family of $ \alpha $-stable distributions to estimate parameters from financial asset log-returns data.
M. Kateregga, S. Mataramvura, D. Taylor
doaj +1 more source
msBP is an R package that implements a new method to perform Bayesian multiscale nonparametric inference introduced by Canale and Dunson (2016). The method, based on mixtures of multiscale beta dictionary densities, overcomes the drawbacks of Pólya trees
Antonio Canale
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Drones equipped with thermal sensors have shown ability to overcome some of the limitations often associated with traditional human‐occupied aerial surveys (e.g., low detection, high operational cost, human safety risk).
Jared T. Beaver +5 more
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The estimation of the watermelon density from a two-dimensional photograph [PDF]
The density of a watermelon floating in a container of water is estimated with a simplified method from theoretical geometry without consideration of three –dimensional effects. The watermelon was approximated as a sphere.
Choojit Sarapak
doaj
Evaluation of Acoustic Recording Devices to Survey Northern Bobwhite Populations
Reliable methods for monitoring wildlife populations are paramount to effective conservation and management. There are a variety of available techniques that vary in cost and feasibility. We field‐tested a commercially available acoustic recording device
Nathan G. Wilhite +2 more
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Estimation of the Scaling Parameter for A Symmetric Design Function [PDF]
Some results are given for the estimation of the scaling parameter in kernel-type density estimation for a symmetric density. For the case when the point of symmetry, θ is known it is shown that a symmetrized Kernal estimator is, as measured by MISE ...
A.K. Hosni
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Local density estimation for VANETs [PDF]
Local vehicle density estimation is an integral part of various applications of Vehicular Ad-hoc Networks (VANETs) such as congestion control and congestion traffic estimation. Currently, many applications use beacons to estimate this density. However, many studies show that the reception rate of these beacons can significantly drop at short distances ...
Noureddine Haouari +3 more
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Online monitoring of partial discharge (PD) is a complex task traditionally requiring specialized expertise. However, recent advancements in signal processing and machine learning have facilitated the development of automated tools to identify and ...
Krissana Romphuchaiyapruek +1 more
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Unified Probabilistic and Similarity-Based Position Estimation from Radio Observations
We propose a modeling approach for position estimation based on the observed radio propagation in an environment. The approach is purely similarity-based and therefore free of explicit physical assumptions.
Max Werner +3 more
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