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A note on EM algorithm for mixture models

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Publication:1950657
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DOI10.1016/J.SPL.2012.10.017zbMath1352.62044OpenAlexW2029811140MaRDI QIDQ1950657

Weixin Yao

Publication date: 13 May 2013

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2012.10.017


zbMATH Keywords

EM algorithmrobust regressionmodeadaptive regressionedge-preserving smoothers


Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Point estimation (62F10)


Related Items (9)

Nonparametric modal regression ⋮ A New Regression Model: Modal Linear Regression ⋮ Regression estimation via information-weighted composite models with different dimensions ⋮ Robust maximum \(L_q\)-likelihood estimation of joint mean-covariance models for longitudinal data ⋮ Nonlinear kernel mode‐based regression for dependent data ⋮ Image denoising algorithm combined with SGK dictionary learning and principal component analysis noise estimation ⋮ Modeling discrete stock price changes using a mixture of Poisson distributions ⋮ Efficient estimation of nonparametric regression in the presence of dynamic heteroskedasticity ⋮ Adaptive estimation for varying coefficient models







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