We propose a Statistically Enhanced Learning (aka. SEL) model to predict...
Feature engineering is of critical importance in the field of Data Scien...
Three state-of-the-art statistical ranking methods for forecasting footb...
Stein's method is a collection of tools for analysing distributional
com...
The COVID-19 pandemic has left its marks in the sports world, forcing th...
Power laws and power laws with exponential cut-off are two distinct fami...
Economic and financial crises are characterised by unusually large event...
The assumption of elliptical symmetry has an important role in many
theo...
The prior distribution is a crucial building block in Bayesian analysis,...
The normal distribution is well-known for several results that it is the...
We introduce the Tournament Rank Probability Score (TRPS) as a measure t...
Although the assumption of elliptical symmetry is quite common in
multiv...
In the bioinformatics field, there has been a growing interest in modell...
In this work, we combine two different ranking methods together with sev...
In this work, we compare three different modeling approaches for the sco...
We propose a measure of the impact of any two choices of prior distribut...