Results 21 to 30 of about 4,806,885 (346)

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

open access: yesPhysical 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

IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

open access: yesMolecular biology and evolution, 2014
Large phylogenomics data sets require fast tree inference methods, especially for maximum-likelihood (ML) phylogenies. Fast programs exist, but due to inherent heuristics to find optimal trees, it is not clear whether the best tree is found.
Lam-Tung Nguyen   +3 more
semanticscholar   +1 more source

A simple approach to maximum intractable likelihood estimation [PDF]

open access: yes, 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 Entropy competes with Maximum Likelihood

open access: yesCoRR, 2020
11 ...
Armen E. Allahverdyan, N. H. Martirosyan
openaire   +2 more sources

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

open access: yes, 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

Iterative maximum likelihood on networks [PDF]

open access: yesAdvances 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 + 1) be the average of X_v(t) and of X_w(t) among all the neighbors w of v. In this paper we consider
Elchanan Mossel, Omer Tamuz
openaire   +5 more sources

Model fit after pairwise maximum likelihood

open access: yesFrontiers in Psychology, 2016
Maximum likelihood factor analysis of discrete data within the structural equation modeling framework rests on the assumption that the observed discrete responses are manifestations of underlying continuous scores that are normally distributed.
M. T. eBarendse   +3 more
doaj   +1 more source

Accurate structural correlations from maximum likelihood superpositions. [PDF]

open access: yesPLoS Computational Biology, 2008
The cores of globular proteins are densely packed, resulting in complicated networks of structural interactions. These interactions in turn give rise to dynamic structural correlations over a wide range of time scales.
Douglas L Theobald, Deborah S Wuttke
doaj   +1 more source

RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference

open access: yesbioRxiv, 2018
Motivation Phylogenies are important for fundamental biological research, but also have numerous applications in biotechnology, agriculture, and medicine.
Alexey M. Kozlov   +4 more
semanticscholar   +1 more source

Warranty Claim Forecasting Based On Weighted Maximum Likelihood Estimation [PDF]

open access: yes, 2012
Warranty claims reported in recent months might carry more up-to-date information than those reported in earlier months. Using weighted maximum likelihood estimation for estimating model parameters might therefore lead to better performance of warranty ...
Akbarov, Artur   +3 more
core   +1 more source

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