Estimation and diagnostic for a skewed generalized normal partially linear models
AIMS MathematicsPartially linear models (PLMs) are widely employed in scientific research to analyze hybrid parametric-nonparametric relationships. However, their conventional reliance on symmetric error distributions severely limits applicability to real-world ...
Xue Wang +2 more
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disclapmix: Discrete Laplace Mixture Inference using the EM Algorithm [PDF]
, 2012 Mikkel Meyer Andersen +1 more
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Exploring the Conformational Landscape of Cryo-EM Using Energy-Aware Pathfinding Algorithm [PDF]
, 2023 Szu-Chi Chung, Teng-Yu Lin
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EMeth: An EM algorithm for cell type decomposition based on DNA methylation data. [PDF]
Sci Rep, 2021 Zhang H, Cai R, Dai J, Sun W.
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EM algorithm for mixture of skew-normal distributions fitted to grouped data. [PDF]
J Appl Stat, 2021 Teimouri M.
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A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants
Learning in Graphical Models, 1998 Radford M. Neal, Geoffrey E. Hinton
semanticscholar +1 more source
Stochastic EM algorithm for generalized exponential cure rate model and an empirical study. [PDF]
J Appl Stat, 2021 Davies K, Pal S, Siddiqua JA.
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New Vessel Extraction Method by Using Skew Normal Distribution for MRA Images
StatsVascular-related diseases pose significant public health challenges and are a leading cause of mortality and disability. Understanding the complex structure of the vascular system and its processes is crucial for addressing these issues.
Tohid Bahrami +3 more
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An EM/MCMC Markov-Switching GARCH Behavioral Algorithm for Random-Length Lumber Futures Trading [PDF]
Oscar V. De la Torre-Torres +2 more
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A fast and efficient Modal EM algorithm for Gaussian mixtures
, 2021 Luca Scrucca
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