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...
calpropertiesofthepseudolikelihoodestimator,suchascon-sistencyandasymptoticnormality,areestablished.Apseudoexpectation-maximization(EM)algorithmisdevelopedtomaxi-mizethepseudolog-likelihoodfunction.Twoexampleswithsimu-latedorrealdataareusedtoillustratethepseudolikelihoodpro-posal:(1)inferenceoftheinternallinkdelay...
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 ...
摘要: Models described as using quasi-likelihood (QL) are often using a different approach based on the normal likelihood, which I call pseudo-likelihood. The two approaches are described and contrasted, and an example is used to illustrate the advantages of the QL approach proper....
The likelihood (2) is known as multinomial logistic or softmax function and is used widely for the GP multi-class classification problems [9,26]. It is important to note that the likelihood function (2) used for the multi-class classification problems is not Gaussian. Hence, the posterior ...
PSEUDOMARKER version 1 maximizes several likelihood functions [1] using a generalized pattern search (GPS) algorithm [2] implemented in a custom version of the ILINK [3] program. Previously, we showed that PSEUDOMARKER, using GPS likelihood estimates, performed well in detecting linkage and LD, ...
The resulting registration model then allows us to formulate the track registration and fusion as a maximum likelihood (ML) estimation problem. We propose using the expectation maximization (EM) approach to perform track registration and fusion simultaneously. Both batch and recursive EM algorithms are...
This decreases the likelihood that virtual segment addresses that are allocated together end up in the same set or sets of virtual segment addresses within the address translation table. 展开 收藏 引用 批量引用 报错 分享 文库来源 其他来源 求助全文 Pseudo-random address generation mechanism that re...
Pseudo-Label (P-PseudoLabel), comparing outputs of the model versus the trimmed model to find samples that are perplexing. Then, utilizing the perplexing samples, they execute negative learning to reduce the likelihood of giving inaccurate information and to enhance performance....
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 ...