Results 31 to 40 of about 392,201 (264)

Density Estimation Through Convex Combinations of Densities: Approximation and Estimation Bounds [PDF]

open access: yesNeural Networks, 1997
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
openaire   +2 more sources

Parameter estimation for stable distributions with application to commodity futures log-returns

open access: yesCogent Economics & Finance, 2017
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: An R Package to Perform Bayesian Nonparametric Inference Using Multiscale Bernstein Polynomials Mixtures

open access: yesJournal of Statistical Software, 2017
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
doaj   +1 more source

Evaluating the Use of Drones Equipped with Thermal Sensors as an Effective Method for Estimating Wildlife

open access: yesWildlife Society Bulletin, 2020
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
doaj   +1 more source

The estimation of the watermelon density from a two-dimensional photograph [PDF]

open access: yesWarasan Witthayasat Lae Theknoloyi Mahawitthayalai Mahasarakham, 2019
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

open access: yesWildlife Society Bulletin, 2020
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
doaj   +1 more source

Estimation of the Scaling Parameter for A Symmetric Design Function [PDF]

open access: yesThe Egyptian Statistical Journal, 1990
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
doaj   +1 more source

Local density estimation for VANETs [PDF]

open access: yes2016 Global Information Infrastructure and Networking Symposium (GIIS), 2016
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
openaire   +2 more sources

Frequency-Based Density Estimation and Identification of Partial Discharges Signal in High-Voltage Generators via Gaussian Mixture Models

open access: yesEng
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
doaj   +1 more source

Unified Probabilistic and Similarity-Based Position Estimation from Radio Observations

open access: yesSensors
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
doaj   +1 more source

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