Two natural ways of modelling Formula 1 race outcomes are a probabilistic approach,
based on the exponential distribution, and econometric modelling of the ranks. Both …

Neural networks are widely used due to the adaptability of models to many problems and
high efficiency. These solutions are also gaining popularity in the design of Decision …

Two natural ways of modelling Formula 1 race outcomes are a probabilistic approach,
based on the exponential distribution, and statistical regression modelling of the ranks. Both …

This paper explored the potentiality of social networks analysis to discuss the industrial
organization of Formula One since the 2000 season. We tested three major hypotheses …

This thesis investigates how financial regulations impact competitive balance in motorsports
using empirical evidence from Formula One between 1998 and 2023. In 2021, Formula One …

This paper exploredthe potentiality of social networks analysis to discuss the industrial
organization of Formula One since the 2000 season. We tested three major hypotheses …

This thesis explores Formula 1 pit stop strategies through advanced analytics, with a focus
on driver clustering in relation to performance, tactical, and behavioural aspects. Our …

This thesis explores Formula 1 pit stop strategies through advanced analytics, with a focus
on driver clustering in relation to performance, tactical, and behavioural aspects. Our …

This paper attempts to analyze and predict when a pit stop would be made in a Formula1
race. A predictive model could improve efficiency within the race and optimize the race …

This thesis explores Formula 1 pit stop strategies through advanced analytics, with a focus
on driver clustering in relation to performance, tactical, and behavioural aspects. The …