Measurement of echo reduction for passive-material samples using sparse Bayesian learning and least squares estimation

2021 ◽  
Vol 150 (5) ◽  
pp. 3251-3262
Author(s):  
Xiaochen Ma ◽  
Jianlong Li ◽  
Yongqiang Huang ◽  
Yu'an Hu
Keyword(s):  
Least Squares ◽  
Bayesian Learning ◽  
Least Squares Estimation ◽  
Sparse Bayesian Learning

The Estimation of Blood Platelet Survival

1972 ◽  
Vol 28 (03) ◽  
pp. 447-456 ◽  
Author(s):  
E. A Murphy ◽  
M. E Francis ◽  
J. F Mustard
Keyword(s):  
Standard Deviation ◽  
Least Squares ◽  
Experimental Error ◽  
Blood Platelet ◽  
Least Squares Estimation ◽  
Systematic Relationship ◽  
Platelet Survival ◽  
The Mean ◽  
Normally Distributed

SummaryThe characteristics of experimental error in measurement of platelet radioactivity have been explored by blind replicate determinations on specimens taken on several days on each of three Walker hounds.Analysis suggests that it is not unreasonable to suppose that error for each sample is normally distributed ; and while there is evidence that the variance is heterogeneous, no systematic relationship has been discovered between the mean and the standard deviation of the determinations on individual samples. Thus, since it would be impracticable for investigators to do replicate determinations as a routine, no improvement over simple unweighted least squares estimation on untransformed data suggests itself.

Blind Identification of Multichannel Systems Based on Sparse Bayesian Learning

2016 ◽  
Vol E99.B (12) ◽  
pp. 2614-2622 ◽  
Author(s):  
Kai ZHANG ◽  
Hongyi YU ◽  
Yunpeng HU ◽  
Zhixiang SHEN ◽  
Siyu TAO
Keyword(s):  
Bayesian Learning ◽  
Blind Identification ◽  
Sparse Bayesian Learning ◽  
Multichannel Systems

Least Squares Estimation in Uncertain Differential Equations

2020 ◽  
Vol 28 (10) ◽  
pp. 2651-2655 ◽  
Author(s):  
Yuhong Sheng ◽  
Kai Yao ◽  
Xiaowei Chen
Keyword(s):  
Differential Equations ◽  
Least Squares ◽  
Least Squares Estimation

scholarly journals Unification of Sparse Bayesian Learning Algorithms for Electromagnetic Brain Imaging with the Majorization Minimization Framework

NeuroImage ◽  
2021 ◽  
pp. 118309
Author(s):  
Ali Hashemi ◽  
Chang Cai ◽  
Gitta Kutyniok ◽  
Klaus-Robert Müller ◽  
Srikantan S. Nagarajan ◽  
...  
Keyword(s):  
Brain Imaging ◽  
Bayesian Learning ◽  
Learning Algorithms ◽  
Sparse Bayesian Learning
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