A hierarchical generalized linear model with variable selection: studying the response of a representative fish assemblage for large European rivers in a multi-pressure context

2013 ◽  
Vol 27 (7) ◽  
pp. 1719-1734 ◽  
Author(s):  
Jérémy Piffady ◽  
Éric Parent ◽  
Yves Souchon
2013 ◽  
Vol 39 (2) ◽  
pp. 258 ◽  
Author(s):  
Ning YAN ◽  
Shang-Qian XIE ◽  
Qing-Chun GENG ◽  
Yu XU ◽  
Guang-Jun LI ◽  
...  

Author(s):  
Andreas Groll ◽  
Gunther Schauberger ◽  
Gerhard Tutz

AbstractIn this article an approach for the analysis and prediction of international soccer match results is proposed. It is based on a regularized Poisson regression model that includes various potentially influential covariates describing the national teams’ success in previous FIFA World Cups. Additionally, within the generalized linear model (GLM) framework, also differences of team-specific effects are incorporated. In order to achieve variable selection and shrinkage, we use tailored Lasso approaches. Based on preceding FIFA World Cups, two models for the prediction of the FIFA World Cup 2014 are fitted and investigated. Based on the model estimates, the FIFA World Cup 2014 is simulated repeatedly and winning probabilities are obtained for all teams. Both models favor the actual FIFA World Champion Germany.


Aquaculture ◽  
2020 ◽  
Vol 514 ◽  
pp. 734515
Author(s):  
Panya Sae-Lim ◽  
Hooi Ling Khaw ◽  
Hanne Marie Nielsen ◽  
Velmurugu Puvanendran ◽  
Øyvind Hansen ◽  
...  

2015 ◽  
Vol 80 (1) ◽  
pp. 12-20 ◽  
Author(s):  
Woojoo Lee ◽  
Jeonghwan Kim ◽  
Youngjo Lee ◽  
Taesung Park ◽  
Young Ju Suh

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