Zobrazeno 1 - 10
of 408
pro vyhledávání: '"Karlis, Dimitris"'
Autor:
Scrucca, Luca, Karlis, Dimitris
Shot charts in basketball analytics provide an indispensable tool for evaluating players' shooting performance by visually representing the distribution of field goal attempts across different court locations. However, conventional methods often over
Externí odkaz:
http://arxiv.org/abs/2405.01182
Autor:
Chasiotis, Vasilis, Karlis, Dimitris
The importance of exploring a potential integration among surveys has been acknowledged in order to enhance effectiveness and minimize expenses. In this work, we employ the alignment method to combine information from two different surveys for the es
Externí odkaz:
http://arxiv.org/abs/2404.05702
Handball has received growing interest during the last years, including academic research for many different aspects of the sport. On the other hand modelling the outcome of the game has attracted less interest mainly because of the additional challe
Externí odkaz:
http://arxiv.org/abs/2404.04213
The purpose of this paper is to extend standard finite mixture models in the context of multinomial mixtures for spatial data, in order to cluster geographical units according to demographic characteristics. The spatial information is incorporated on
Externí odkaz:
http://arxiv.org/abs/2402.09888
The prevalent model by Dixon and Coles (1997) extends the double Poisson model where two independent Poisson distributions model the number of goals scored by each team by moving probabilities between the scores 0-0, 0-1, 1-0, and 1-1. We show that t
Externí odkaz:
http://arxiv.org/abs/2307.02139
Autor:
Chasiotis, Vasilis, Karlis, Dimitris
If the assumed model does not accurately capture the underlying structure of the data, a statistical method is likely to yield sub-optimal results, and so model selection is crucial in order to conduct any statistical analysis. However, in case of ma
Externí odkaz:
http://arxiv.org/abs/2306.10980
Autor:
Chasiotis, Vasilis, Karlis, Dimitris
The demand of computational resources for the modeling process increases as the scale of the datasets does, since traditional approaches for regression involve inverting huge data matrices. The main problem relies on the large data size, and so a sta
Externí odkaz:
http://arxiv.org/abs/2305.01597
Autor:
Chasiotis, Vasilis, Karlis, Dimitris
In the big data era researchers face a series of problems. Even standard approaches/methodologies, like linear regression, can be difficult or problematic with huge volumes of data. Traditional approaches for regression in big datasets may suffer due
Externí odkaz:
http://arxiv.org/abs/2305.00218
Autor:
Eleftheriou, Dimitra, Karlis, Dimitris
For many diseases it is reasonable to assume that the hazard rate is not constant across time, but also that it changes in different time intervals. To capture this, we work here with a piecewise survival model. One of the major problems in such piec
Externí odkaz:
http://arxiv.org/abs/2112.03688
In this paper we present Poisson mixture approaches for origin-destination (OD) modeling in transportation analysis. We introduce covariate-based models which incorporate different transport modeling phases and also allow for direct probabilistic inf
Externí odkaz:
http://arxiv.org/abs/2011.06045