Results 11 to 20 of about 4,806,885 (346)
MLDS: Maximum Likelihood Difference Scaling in R [PDF]
Journal of Statistical Software, 2008 The MLDS package in the R programming language can be used to estimate perceptual scales based on the results of psychophysical experiments using the method of difference scaling.
Kenneth Knoblauch, Laurence T. Maloney
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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 ...
Catanese, Fabrizio +3 more
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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 solution.
Idan Goldenberg, David Burshtein
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Maximum Likelihood Identification of Dual-rate Hammerstein Systems
Nantong Daxue xuebao. Ziran kexue ban, 2021 Aiming at a kind of dual-rate Hammerstein system, based on the auxiliary model identification idea, using the maximum likelihood principle and recursive identification technology, this paper proposes a maximum likelihood recursive least squares algorithm.
LI Junhong ZHANG Jiali LU Guoping
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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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Vestige: Maximum likelihood phylogenetic footprinting
BMC Bioinformatics, 2005 Background Phylogenetic footprinting is the identification of functional regions of DNA by their evolutionary conservation. This is achieved by comparing orthologous regions from multiple species and identifying the DNA regions that have diverged less ...
Maxwell Peter +2 more
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W-IQ-TREE: a fast online phylogenetic tool for maximum likelihood analysis
Nucleic Acids Res., 2016 This article presents W-IQ-TREE, an intuitive and user-friendly web interface and server for IQ-TREE, an efficient phylogenetic software for maximum likelihood analysis.
Jana Trifinopoulos +3 more
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Particle methods for maximum likelihood estimation in latent variable models [PDF]
, 2008 Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants.
Davy, Manuel +8 more
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Divisive hierarchical maximum likelihood clustering
BMC Bioinformatics, 2017 Background Biological data comprises various topologies or a mixture of forms, which makes its analysis extremely complicated. With this data increasing in a daily basis, the design and development of efficient and accurate statistical methods has become
Alok Sharma +2 more
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