Pages that link to "Item:Q3542546"
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The following pages link to Modelling soccer matches using bivariate discrete distributions with general dependence structure (Q3542546):
Displaying 15 items.
- Joint modelling of two count variables when one of them can be degenerate (Q1729332) (← links)
- Generalised joint regression for count data: a penalty extension for competitive settings (Q2209714) (← links)
- CP and MIP approaches for soccer analysis (Q2315590) (← links)
- The importance of a match in a tournament (Q2468494) (← links)
- Copula-Based Models for Multivariate Discrete Response Data (Q2849533) (← links)
- Some contributions on the multivariate Poisson–Skellam probability distribution (Q2980039) (← links)
- Discrete distributions based on inter arrival times with application to football data (Q4638691) (← links)
- Exploring and modelling team performances of the Kaggle European Soccer database (Q5142229) (← links)
- The Z-Poisson distribution with application to the modelling of soccer score probabilities (Q5193319) (← links)
- Modeling Multivariate Count Data Using Copulas (Q5305499) (← links)
- New classes of discrete bivariate distributions with application to football data (Q5367287) (← links)
- A multivariate Poisson regression model for count data (Q5861194) (← links)
- A copula-based multivariate hidden Markov model for modelling momentum in football (Q6107397) (← links)
- Introducing Lasso-type penalisation to generalised joint regression modelling for count data (Q6107410) (← links)
- Tests for zero inflation in a bivariate zero-inflated Poisson model (Q6573714) (← links)
