Results 1 to 10 of about 1,901,245 (143)
Iterative Maximum Likelihood on Networks [PDF]
Advances in Applied Mathematics, 2009 We consider n agents located on the vertices of a connected graph. Each agent v receives a signal X_v(0)~N(s, 1) where s is an unknown quantity. A natural iterative way of estimating s is to perform the following procedure. At iteration t + 1 let X_v(t +
Mossel, Elchanan, Tamuz, Omer
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Maximum Likelihood Associative Memories [PDF]
2013 IEEE Information Theory Workshop (ITW), 2013 Associative memories are structures that store data in such a way that it can later be retrieved given only a part of its content -- a sort-of error/erasure-resilience property.
Gripon, Vincent, Rabbat, Michael
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The approximate maximum-likelihood certificate [PDF]
IEEE Transactions on Information Theory, 2011 A new property which relies on the linear programming (LP) decoder, the approximate maximum-likelihood certificate (AMLC), is introduced. When using the belief propagation decoder, this property is a measure of how close the decoded codeword is to the LP
Burshtein, David, Goldenberg, Idan
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Maximum Likelihood for Dual Varieties [PDF]
Proceedings of the 2014 Symposium on Symbolic-Numeric Computation, 2014 Maximum likelihood estimation (MLE) is a fundamental computational problem in statistics. In this paper, MLE for statistical models with discrete data is studied from an algebraic statistics viewpoint.
Rodriguez, Jose Israel
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Maximum Likelihood Supertrees [PDF]
Systematic Biology, 2008 We analyse a maximum-likelihood approach for combining phylogenetic trees into a larger `supertree'. This is based on a simple exponential model of phylogenetic error, which ensures that ML supertrees have a simple combinatorial description (as a median tree, minimising a weighted sum of distances to the input trees).
Steel, Michael, Rodrigo, Allen
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The maximum likelihood degree [PDF]
American Journal of Mathematics, 2006 Maximum likelihood estimation in statistics leads to the problem of maximizing a product of powers of polynomials. We study the algebraic degree of the critical equations of this optimization problem. This degree is related to the number of bounded regions in the corresponding arrangement of hypersurfaces, and to the Euler characteristic of the ...
Amit Khetan +3 more
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Barycenter and maximum likelihood [PDF]
Differential Geometry and its Applications, 2006 AbstractWe refine recent existence and uniqueness results, for the barycenter of points at infinity of Hadamard manifolds, to measures on the sphere at infinity of symmetric spaces of non compact type and, more specifically, to measures concentrated on single orbits.
Flüge, Ruedi, Ruh, Ernst A.
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Maximum Likelihood and the Single Receptor [PDF]
Physical Review Letters, 2009 Biological cells are able to accurately sense chemicals with receptors at their surfaces, allowing cells to move towards sources of attractant and away from sources of repellent. The accuracy of sensing chemical concentration is ultimately limited by the random arrival of particles at the receptors by diffusion.
Endres, RG, Wingreen, NS
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Maximum Likelihood, Profile Likelihood, and Penalized Likelihood: A Primer [PDF]
American Journal of Epidemiology, 2013 The method of maximum likelihood is widely used in epidemiology, yet many epidemiologists receive little or no education in the conceptual underpinnings of the approach. Here we provide a primer on maximum likelihood and some important extensions which have proven useful in epidemiologic research, and which reveal connections between maximum likelihood
Cole, Stephen R +2 more
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Bounding the maximum likelihood degree [PDF]
, 2015 Maximum likelihood estimation is a fundamental computational problem in statistics. In this note, we give a bound for the maximum likelihood degree of algebraic statistical models for discrete data.
Budur, Nero, Wang, Botong
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