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Statistics and causality: separated to reunite-commentary on Bryan Dowd's "separated at birth".
Health services research, 2011 openaire +2 more sources
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Statistical Parameters of Separation Processes
Refractories and Industrial Ceramics, 2020The regime of two-phase ascending flow in which the solid phase can move in both directions is called critical. The analysis of such flows from the standpoint of statistical approach has allowed establishing main parameters characterizing this mass process. Chaotizing factor and solid phase mobility are among its energy characteristics.
E. M. Barsky, M. D. Barsky
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Statistical causality and separable processes
Statistics & Probability Letters, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dragana Valjarević, Ljiljana Petrović
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Statistical Thermodynamics Approach for Intracellular Phase Separation
2022Phase 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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Separable statistics derived from a given separable statistic by “restricting” the probability space
Journal of Mathematical Sciences, 1996zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On a Generalization of Separable Statistics
Theory of Probability & Its Applications, 1986Let \(\{(\xi_ t,\eta_ t)\}^ n_{t=1}\) be a sequence of independent random vectors taking on values \((m,\ell)\), \(m=1,2,...,N\), \(\ell =0,1,...,M-1\), with the unknown probabilities \(p_ mp_{m\ell}\) where \(p_ m=P\{\xi_ t=m\}\), \(p_{m\ell}=P\{\eta_ t=\ell | \xi_ t=m\}\), \(t=1,2,...,N\).
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A statistical approach to class separability
Applied Stochastic Models in Business and Industry, 2005AbstractWe 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. +2 more
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Statistical Principles of Source Separation
IFAC Proceedings Volumes, 1997Abstract 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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