Results 261 to 270 of about 1,745,817 (304)

Statistical causality and separable processes

Statistics & Probability Letters, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dragana Valjarević, Ljiljana Petrović
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A statistical approach to class separability

Applied Stochastic Models in Business and Industry, 2005
AbstractWe propose a new statistical approach for characterizing the class separability degree in ℝp. This approach is based on a non‐parametric statistic called ‘the cut edge weight’. We show in this paper the principle and the experimental applications of this statistic.
Zighed, Djamel A., Lallich, Stéphane, Muhlenbach, Fabrice   +2 more
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Separable statistics derived from a given separable statistic by “restricting” the probability space

Journal of Mathematical Sciences, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On the Convergence of Separable Statistics to a Wiener Process

Theory of Probability & Its Applications, 1988
See the review in Zbl 0624.60050.
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Weak Convergence of Distributions of Separable Statistics

Theory of Probability & Its Applications, 1998
Summary: This paper focuses on weak limits (as the number of summands grows) of distributions of separable statistics taking values in locally compact Hausdorff Abelian groups. We consider a general method of deriving limit theorems for separable statistics that is applicable to any schemes.
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Limit Theorems for a Class of Separable Statistics

Theory of Probability & Its Applications, 1986
See the review in Zbl 0569.62011.
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Blind signal separation: statistical principles

Proceedings of the IEEE, 1998
Blind signal separation (BSS) and independent component analysis (ICA) are emerging techniques of array processing and data analysis that aim to recover unobserved signals or "sources" from observed mixtures (typically, the output of an array of sensors), exploiting only the assumption of mutual independence between the signals.
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Statistical Principles of Source Separation

IFAC Proceedings Volumes, 1997
Abstract Blind signal separation (BSS) is an emerging signal processing technique, aiming at recovering unobserved signals or ‘sources’ from observed mixtures (typically, the output of an array of sensors), exploiting only the assumption of mutual independence between the signals.
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Statistical Thermodynamics Approach for Intracellular Phase Separation

2022
Phase separation is one of the fundamental processes to compartmentalize biomolecules in living cells. RNA-protein complexes (RNPs) often scaffold biomolecular condensates formed through phase separation. We here present a statistical thermodynamics approach to investigate intracellular phase separation.
Tomohiro, Yamazaki, Tetsuya, Yamamoto
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A Measure Of Separability And Random Zeros In Statistical Classification

Multivariate Behavioral Research, 1980
The setting for this study is the two-group multinomial classification problem. Based on a measure of the log odds in favor of one particular group, a large sample confidence interval for a measure of separability is derived. The asymptotic result employed assumes that all states have positive observed frequencies.
M, Goldstein, W R, Dillon
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