Results 21 to 30 of about 1,722,167 (288)
Mathematics, 2022 A difficult and open problem in artificial intelligence is the development of agents that can operate in complex environments which change over time. The present communication introduces the formal notions, the architecture, and the training algorithm of
Edmondo Trentin
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Adaptive density estimation for stationary processes [PDF]
, 2009 We propose an algorithm to estimate the common density $s$ of a stationary process $X_1,...,X_n$. We suppose that the process is either $\beta$ or $\tau$-mixing.
C. L. Mallows +20 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
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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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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
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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
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Bayesian multivariate mixed-scale density estimation [PDF]
, 2014 Although continuous density estimation has received abundant attention in the Bayesian nonparametrics literature, there is limited theory on multivariate mixed scale density estimation.
Canale, Antonio, Dunson, David B.
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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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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
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Statistical Science, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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