11. The probabilistic technique of pseudo-maximization via the method of mixtures has a fundamental statistical counterpart that links likelihood to Bayesian inference; this is treated in Sect. 17.2.doi:10.1007/978-3-540-85636-8_17Victor H. de la Pea...
impute the unobserved coordinate, and then estimate parameters maximizing a pseudo-likelihood through a stochastic version of the Expectation- Maximization ... S Ditlevsen,A Samson - 《Annals of Applied Statistics》 被引量: 37发表: 2014年 Default prior distributions from quasi- and quasi-profile lik...
However, the computation of these models are hindered by their complicated Monte Carlo Expectation–Maximization (MCEM) algorithm. In this article, a class of pseudo-likelihood functions is developed for conducting statistical inference with crossed random-effects latent class models in diagnostic ...
expectation-maximization(EM)algorithmisdevelopedtomaxi-mizethepseudolog-likelihoodfunction.Twoexampleswithsimu-latedorrealdataareusedtoillustratethepseudolikelihoodpro-posal:(1)inferenceoftheinternallinkdelaydistributionsthroughmulticastend-to-endmeasurements;(2)origin-destinationmatrixestimationthroughlinktraffic...
{\theta }\)are also estimated by maximizing the lower bound (9). The variational parameters\(\varvec{\gamma }\)and the model parameters\(\varvec{\theta }\)are estimated alternately following a variational expectation maximization (EM) approach [16]. Algorithm 1 summarizes various steps ...
6) maximum-likelihood expectation-maximization algorithm 最大似然期望最大算法补充资料:最大似然法 说明:补充资料仅用于学习参考,请勿用于其它任何用途。参考词条扩展最大似然算法 最大似然立体算法 最大似然递推算法 随机抽样最大似然算法 ©2011 dictall.com...
Some data sets were observed to present difficult maximization problems for the GPS while the previous version of the PSEUDOMARKER package was being developed. The x.linked test set [28] was particularly interesting because it was x-linked, had multiple alleles, and most of the data were triads...
Fast pseudolikelihood maximization for direct-coupling analysis of protein structure from many homologous amino-acid sequences.Ekeberg, M., Hartonen, T., and Aurell, E. (2014). Fast pseudolikelihood maximi- zation for direct-coupling analysis of protein structure from many homologous amino-acid ...
iterative methodsWe consider a powerful iterative inference algorithm which has recently appeared in the literature. In this paper, we refer to this algorithm as iterative 'pseudo likelihood' maximization (IPLFM) algorithm. We give a connection between this algorithm and...
A pseudo expectation-maximization (EM) algorithm is developed to maximize the pseudo log-likelihood function. Two examples with simulated or real data are used to illustrate the pseudo likelihood proposal: 1) inference of the internal link delay distributions through multicast end-to-end measurements ...