Pages that link to "Item:Q1621966"
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The following pages link to Extended ordered paired comparison models with application to football data from German Bundesliga (Q1621966):
Displaying 12 items.
- The ranking lasso and its application to sport tournaments (Q149774) (← links)
- Default priors for the intercept parameter in logistic regressions (Q1727911) (← links)
- How often does the best team win? A unified approach to understanding randomness in North American sport (Q1728667) (← links)
- Generalised joint regression for count data: a penalty extension for competitive settings (Q2209714) (← links)
- Analysis of the importance of on-field covariates in the German Bundesliga (Q5036401) (← links)
- Subject-specific modelling of paired comparison data: A lasso-type penalty approach (Q5142180) (← links)
- Exploring and modelling team performances of the Kaggle European Soccer database (Q5142229) (← links)
- Dynamic rating of European football teams (Q5315716) (← links)
- Modelling Clustered Heterogeneity: Fixed Effects, Random Effects and Mixtures (Q6086487) (← links)
- The role of passing network indicators in modeling football outcomes: an application using Bayesian hierarchical models (Q6107413) (← links)
- Time-varying rankings with the Bayesian Mallows model (Q6540493) (← links)
- Grouped rank centrality: ranking and grouping from pairwise comparisons simultaneously (Q6548885) (← links)