The COVID-19 pandemic enabled a natural experiment examining how spectator absence
impacted home advantage in football. This systematic review analysed research …

Discrete state spaces represent a major computational challenge to statistical inference,
since the computation of normalization constants requires summation over large or possibly …

The prevalent model by Dixon and Coles extends the double Poisson model where two
independent Poisson distributions model the number of goals scored by each team by …

For modeling count data, the Conway–Maxwell–Poisson (CMP) distribution is a popular
generalization of the Poisson distribution due to its ability to characterize data over-or under …

In this paper, we propose a framework for modeling multivariate count time series data that
accommodates zero-inflated components. Our approach is based on a novel class of …

Count data play a crucial role in sports analytics, providing valuable insights into various
aspects of the game. Models that accurately capture the characteristics of count data are …

Uniformly most powerful unbiased tests for one-sided hypotheses about the dispersion
parameter of the Conway–Maxwell–Poisson distribution are derived by utilizing the …

As a flexible extension of the common Poisson model, the Conway–Maxwell–Poisson
distribution allows for describing under-and overdispersion in count data via an additional …

Even after decades of research, it is largely unclear how the various factors that cause the
home advantage act and interact with one another. This paper provides an updated …

I owe a debt of gratitude to my parents Theodoros and Georgia for their wholelife support,
valuable trust to this step of my life and infinite love. Words cannot describe how grateful i …