scholarly journals Convex variational Bayesian inference for large scale generalized linear models

2009 ◽  
Author(s):  
Hannes Nickisch ◽  
Matthias W. Seeger
Keyword(s):  
Bayesian Inference ◽  
Generalized Linear Models ◽  
Large Scale ◽  
Linear Models ◽  
Variational Bayesian ◽  
Variational Bayesian Inference

scholarly journals The Relationships Between Serum DHEA-S and AMH Levels in Infertile Women: A Retrospective Cross-Sectional Study

2021 ◽  
Vol 10 (6) ◽  
pp. 1211
Author(s):  
Li-Te Lin ◽  
Kuan-Hao Tsui
Keyword(s):  
Generalized Linear Models ◽  
Large Scale ◽  
Linear Models ◽  
Positive Association ◽  
Cross Sectional Study ◽  
Dehydroepiandrosterone Sulphate ◽  
Sectional Study ◽  
Cross Sectional ◽  
Infertile Women ◽  
The Relationship

The relationship between serum dehydroepiandrosterone sulphate (DHEA-S) and anti-Mullerian hormone (AMH) levels has not been fully established. Therefore, we performed a large-scale cross-sectional study to investigate the association between serum DHEA-S and AMH levels. The study included a total of 2155 infertile women aged 20 to 46 years who were divided into four quartile groups (Q1 to Q4) based on serum DHEA-S levels. We found that there was a weak positive association between serum DHEA-S and AMH levels in infertile women (r = 0.190, p < 0.001). After adjusting for potential confounders, serum DHEA-S levels positively correlated with serum AMH levels in infertile women (β = 0.103, p < 0.001). Infertile women in the highest DHEA-S quartile category (Q4) showed significantly higher serum AMH levels (p < 0.001) compared with women in the lowest DHEA-S quartile category (Q1). The serum AMH levels significantly increased across increasing DHEA-S quartile categories in infertile women (p = 0.014) using generalized linear models after adjustment for potential confounders. Our data show that serum DHEA-S levels are positively associated with serum AMH levels.

scholarly journals Reconstruction-Aware Imaging System Ranking by Use of a Sparsity-Driven Numerical Observer Enabled by Variational Bayesian Inference

2019 ◽  
Vol 38 (5) ◽  
pp. 1251-1262 ◽  
Author(s):  
Yujia Chen ◽  
Yang Lou ◽  
Kun Wang ◽  
Matthew A. Kupinski ◽  
Mark A. Anastasio
Keyword(s):  
Bayesian Inference ◽  
Imaging System ◽  
Variational Bayesian ◽  
Variational Bayesian Inference

scholarly journals Bayesian Inference on Order-Constrained Parameters in Generalized Linear Models

Biometrics ◽  
2003 ◽  
Vol 59 (2) ◽  
pp. 286-295 ◽  
Author(s):  
David B. Dunson ◽  
Brian Neelon
Keyword(s):  
Bayesian Inference ◽  
Generalized Linear Models ◽  
Linear Models

Variational Bayesian inference for beamforming

2021 ◽  
Vol 150 (4) ◽  
pp. A154-A154
Author(s):  
Yongsung Park ◽  
Florian Meyer ◽  
Peter Gerstoft
Keyword(s):  
Bayesian Inference ◽  
Variational Bayesian ◽  
Variational Bayesian Inference
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