Results 21 to 30 of about 1,733,991 (287)
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 ...
Bremnes J. B. +11 more
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An assessment of sampling designs using SCR analyses to estimate abundance of boreal caribou
Ecology and Evolution, 2020 Accurately estimating abundance is a critical component of monitoring and recovery of rare and elusive species. Spatial capture–recapture (SCR) models are an increasingly popular method for robust estimation of ecological parameters.
Samantha McFarlane +6 more
doaj +1 more source
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
openaire +3 more sources
Estimation of Bouguer Density Precision: Development of Method for Analysis of La Soufriere Volcano Gravity Data [PDF]
, 2008 Http://dx.doi.org/10.17014/ijog.vol3no3.20084The precision of topographic density (Bouguer density) estimation by the Nettleton approach is based on a minimum correlation of Bouguer gravity anomaly and topography. The other method, the Parasnis approach,
Gunawan, H. (Hendra) +2 more
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Parameter estimation for stable distributions with application to commodity futures log-returns
Cogent 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
Journal 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
Self-consistent method for density estimation [PDF]
, 2010 The estimation of a density profile from experimental data points is a challenging problem, usually tackled by plotting a histogram. Prior assumptions on the nature of the density, from its smoothness to the specification of its form, allow the design of
Berlinet +34 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
openaire +4 more sources
Wildlife 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
Quasi-concave density estimation
, 2010 Maximum likelihood estimation of a log-concave probability density is formulated as a convex optimization problem and shown to have an equivalent dual formulation as a constrained maximum Shannon entropy problem.
Koenker, Roger, Mizera, Ivan
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