Efficient independent component analysis

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Date: 2007-07-25 07:14:48 Statistical models Design of experiments Fisher information Information theory Parametric model Maximum likelihood Characteristic function Adaptive estimator Generalized method of moments Estimation theory Statistics Statistical theory		Efficient independent component analysis Add to Reading List Source URL: www.stat.berkeley.edu Download Document from Source Website File Size: 392,97 KB Share Document on Facebook

	NEWS RELEASE For Immediate Release: June 6, 2018 For More Information, Contact: Shannon Fisher DocID: 1uBuK - View Document
	Robustness Across the Structure of Sub-Networks: The Contrast Between Infection and Information Dynamics Patrick Grim,a Christopher Reade,b Daniel J. Singer,c Steven Fisher,d & Stephen Majewicze abc DocID: 1up59 - View Document
	Accepted for publication in Inform. Sciences: 214–223 Preprint Measures of statistical dispersion based on Shannon and Fisher information concepts Lubomir Kostal,∗ Petr Lansky, and Ondrej Pokora DocID: 1tjQq - View Document
	Bayes or likelihood: Convergence or Divergence Organizer: D.A.S. Fraser What model information is appropriate for the Bayesian paradigm? Don Fraser Department of Statistics DocID: 1sY32 - View Document
	Bayes or likelihood: Convergence or Divergence Organizer: D.A.S. Fraser What model information is appropriate for the Bayesian paradigm? Don Fraser Department of Statistics DocID: 1sU08 - View Document