Search Results - "Expectation–Maximization algorithm"

Parameter estimation for load‐sharing system subject to Wiener degradation process using the expectation‐maximization algorithm by Xu, Jianyu, Liu, Bin, Zhao, Xiujie

“…‐sharing systems with components subject to sudden failures have been intensely studied in literatures with detailed estimation and analysis approaches, those with components…”
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Human Intention Inference Using Expectation-Maximization Algorithm With Online Model Learning by Ravichandar, Harish Chaandar, Dani, Ashwin P.

“… The unknown model is learned by using a neural network. Based on the learned model, an approximate expectation-maximization algorithm is developed to infer human intentions…”
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A numerically efficient implementation of the expectation maximization algorithm for state space models by Mader, Wolfgang, Linke, Yannick, Mader, Malenka, Sommerlade, Linda, Timmer, Jens, Schelter, Björn

“…Empirical time series are subject to observational noise. Naïve approaches that estimate parameters in stochastic models for such time series are likely to fail due to the error-in-variables challenge…”
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Expectation-maximization algorithm for amplitude estimation of saturated optical transient signals by Kagie, Matthew J, Lanterman, Aaron D

“… We develop an expectation-maximization (EM) algorithm to estimate the amplitude of a Poisson intensity with a known shape in the presence of additive background counts, where the measurements are subject to saturation effects…”
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Trend analysis of the power law process using Expectation–Maximization algorithm for data censored by inspection intervals by Taghipour, Sharareh, Banjevic, Dragan

“…; however, in many situations, such as hidden failures, failure times are subject to censoring…”
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Time series modeling of surface EMG based hand manipulation identification via expectation maximization algorithm by Lu, Yang, Ju, Zhaojie, Liu, Yurong, Shen, Yuxuan, Liu, Honghai

“…In this paper, we focus on the method of employing the expectation maximization (EM) algorithm to the modeling of surface electromyography (sEMG) signals based…”
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Estimating the Variance of Estimator of the Latent Factor Linear Mixed Model Using Supplemented Expectation-Maximization Algorithm by Angraini, Yenni, Notodiputro, Khairil Anwar, Folmer, Henk, Saefuddin, Asep, Toharudin, Toni

“…This paper deals with symmetrical data that can be modelled based on Gaussian distribution, such as linear mixed models for longitudinal data. The latent…”
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A hidden Markov model for continuous longitudinal data with missing responses and dropout by Pandolfi, Silvia, Bartolucci, Francesco, Pennoni, Fulvia

“…We propose a hidden Markov model for multivariate continuous longitudinal responses with covariates that accounts for three different types of missing pattern:…”
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A fast Monte Carlo expectation-maximization algorithm for estimation in latent class model analysis with an application to assess diagnostic accuracy for cervical neoplasia in women with atypical glandular cells by Kang, Le, Carter, Randy, Darcy, Kathleen, Kauderer, James, Liao, Shu-Yuan

“…In this article, we use a latent class model (LCM) with prevalence modeled as a function of covariates to assess diagnostic test accuracy in situations where…”
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Robust online identification for hybrid multirate systems based on recursive EM algorithm by Guo, Fan, Huang, Biao

“…This paper focuses on robust identification for both linear time-invariant and time-variant multirate systems with time delays subject to outliers…”
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Majorization ordering of dependent aggregate claims clustered by statistical machine learning by Nevruz, Ezgi, Yildirak, Kasirga, SenGupta, Ashis

“… We consider the spatial and temporal features of claims, supposing that individual claims subject to similar environmental risks are dependent…”
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Dynamic model with time varying delay for type 1 diabetes mellitus identified by using expectation maximization algorithm by Zeng, Fanmao, Wang, Youqing

“… In all previous studies concerning dynamic model identification for T1DM, it was assumed that the delay of insulin absorption is constant for each subject…”
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Modeling the random effects covariance matrix for longitudinal data with covariates measurement error by Hoque, Md Erfanul, Torabi, Mahmoud

“… Generalized linear mixed models (GLMMs) are commonly used to analyze such data. It is typically assumed that the random effects covariance matrix is constant among subjects in these models…”
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Association measures for clustered competing risks by Su, Chien‐Lin, Lakhal‐Chaieb, Lajmi

“…‐specific failure times and the occurrence of competing risk events among subjects within the same cluster are of interest. The cause…”
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Multiple testing for neuroimaging via hidden Markov random field by Shu, Hai, Nan, Bin, Koeppe, Robert

“… A generalized expectation–maximization algorithm for maximizing the penalized likelihood is proposed for estimating the model parameters…”
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Structural network inference from time-series data using a generative model and transfer entropy by Zhang, Zhihong, Zhang, Genzhou, Zhang, Zhonghao, Chen, Guo, Zeng, Yangbin, Wang, Beizhan, Hancock, Edwin R.

“…•We concentrate on the problem of describing the directed flow of information between nodes based on transfer entropy.•We have developed a weighted directed…”
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Joint modeling of recurrent events and a terminal event adjusted for zero inflation and a matched design by Xu, Cong, Chinchilli, Vernon M., Wang, Ming

“… In some scenarios, a certain large portion of subjects may not have any recurrent events during the study period due to nonsusceptibility to events or censoring; thus, the zero…”
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A support vector machine-based cure rate model for interval censored data by Pal, Suvra, Peng, Yingwei, Aselisewine, Wisdom, Barui, Sandip

“… This readily implies that the boundary classifying the cured and uncured subjects is linear. In this article, we propose a new mixture cure rate model based on interval…”
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Factor-augmented transformation models for interval-censored failure time data by Li, Hongxi, Li, Shuwei, Sun, Liuquan, Song, Xinyuan

“…Interval-censored failure time data frequently arise in various scientific studies where each subject experiences periodical examinations for the occurrence of the failure event of interest…”
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Model parameter estimation and residual life prediction for a partially observable failing system by Khaleghei, Akram, Makis, Viliam

“…We consider a partially observable degrading system subject to condition monitoring and random failure…”
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