Results 21 to 30 of about 3,138,878 (297)

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
openaire   +4 more sources

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, Wakefield Matthew J, Huttley Gavin A   +2 more
doaj   +1 more source

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, Chu, Haitao, Greenland, Sander   +2 more
openaire   +4 more sources

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, Johansen, Adam M., Adam M. Johansen, Doucet, Arnaud, Doucet, A, Arnaud Doucet, Manuel Davy, Johansen, AM, Davy, M   +8 more
core   +1 more source

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, Yosvany López, Tatsuhiko Tsunoda   +2 more
doaj   +1 more source

A simple approach to maximum intractable likelihood estimation [PDF]

, 2013
Approximate Bayesian Computation (ABC) can be viewed as an analytic approximation of an intractable likelihood coupled with an elementary simulation step.
Rubio, Francisco J., Johansen, Adam M.
core   +1 more source

Maximum likelihood estimation of the parameters of a system of simultaneous regression equations [PDF]

, 1988
Procedures for computing the full information maximum likelihood (FIML) estimates of the parameters of a system of simultaneous regression equations have been described by Koopmans, Rubin, and Leipnik, Chernoff and Divinsky, Brown, and Eisenpress ...
James Durbin, Durbin, J.
core   +1 more source

Maximum-likelihood trellis decoding technique for balanced codes. [PDF]

, 1995
A low-complexity encoding and maximum-likelihood trellis decoding (MLTD) technique for nonlinear balanced codes is presented.
Markarian, G. S., Honary, B., Blaum, M.
core   +4 more sources

Maximum-likelihood-estimate Hamiltonian learning via efficient and robust quantum likelihood gradient

Physical Review Research, 2023
Given the recent developments in quantum techniques, modeling the physical Hamiltonian of a target quantum many-body system is becoming an increasingly practical and vital research direction.
Tian-Lun Zhao, Shi-Xin Hu, Yi Zhang
doaj   +1 more source

Maximum Entropy competes with Maximum Likelihood

CoRR, 2020
11 ...
Armen E. Allahverdyan, N. H. Martirosyan
openaire   +3 more sources