Results 51 to 60 of about 2,518,110 (330)
Robust Independent Component Analysis viaMinimum γ-Divergence Estimation [PDF]
, 2014 Independent component analysis (ICA) has been shown to be useful in many applications. However, most ICA methods are sensitive to data contamination.
Pengwen Chen +4 more
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Ensemble estimation of multivariate f-divergence [PDF]
2014 IEEE International Symposium on Information Theory, 2014 f-divergence estimation is an important problem in the fields of information theory, machine learning, and statistics. While several divergence estimators exist, relatively few of their convergence rates are known. We derive the MSE convergence rate for a density plug-in estimator of f-divergence.
Kevin R. Moon, Alfred O. Hero III
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Parameter Estimation Based on Cumulative Kullback–Leibler Divergence
Revstat Statistical Journal, 2021 In this paper, we propose some estimators for the parameters of a statistical model based on Kullback–Leibler divergence of the survival function in continuous setting and apply it to type I censored data.
Yaser Mehrali , Majid Asadi
doaj +1 more source
Multivariate f-Divergence Estimation With Confidence
CoRR, 2014 The problem of f-divergence estimation is important in the fields of machine learning, information theory, and statistics. While several nonparametric divergence estimators exist, relatively few have known convergence properties. In particular, even for those estimators whose MSE convergence rates are known, the asymptotic distributions are unknown. We
Kevin R. Moon, Alfred O. Hero III
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Strategies for improving approximate Bayesian computation tests for synchronous diversification
BMC Evolutionary Biology, 2017 Background Estimating the variability in isolation times across co-distributed taxon pairs that may have experienced the same allopatric isolating mechanism is a core goal of comparative phylogeography.
Isaac Overcast +2 more
doaj +1 more source
Estimation of a continuous distribution on the real line by discretization methods [PDF]
, 2019 First Online: 24 September 2018For an unknown continuous distribution on the real line, we consider the approximate estimation by discretization. There are two methods for discretization. The first method is to divide the real line into several intervals
Sheena, Yo
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Journal of Statistical Theory and Applications (JSTA)In the two previous papers of this series, the main results on the asymptotic behaviors of empirical divergence measures based on wavelets theory have been established and particularized for important families of divergence measures like Rényi and ...
Amadou Diadié Bâ +2 more
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On Inference of Overlapping Coefficients in Two Inverse Lomax Populations
Journal of Statistical Theory and Applications (JSTA), 2021 Overlapping coefficient is a direct measure of similarity between two distributions which is recently becoming very useful. This paper investigates estimation for some well-known measures of overlap, namely Matusita's measure ρ, Weitzman's ...
Hamza Dhaker +2 more
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Accounting for calibration uncertainty in phylogenetic estimation of evolutionary divergence times
, 2009 The estimation of phylogenetic divergence times from sequence data is an important component of many molecular evolutionary studies. There is now a general appreciation that the procedure of divergence dating is considerably more complex than that ...
Ho, Simon Y. W., Phillips, Matthew J.
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Robust Estimation of Component Reliability Based on System Lifetime Data with Known Signature
Revstat Statistical JournalThis paper considers the estimation of component reliability based on system lifetime data with known system signature using the minimum density divergence estimation method.
Xiaojie Zhu +2 more
doaj +1 more source