Leonardo Egidi
Leonardo Egidi
Postdoctoral research fellow - DEAMS, University of Trieste
Bestätigte E-Mail-Adresse bei units.it - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Relabelling in Bayesian mixture models by pivotal units
L Egidi, R Pappada, F Pauli, N Torelli
Statistics and Computing 28 (4), 957-969, 2018
102018
Combining historical data and bookmakers’ odds in modelling football scores
L Egidi, F Pauli, N Torelli
Statistical Modelling 18 (5-6), 436-459, 2018
72018
Suicide and suicides attempts in Italian prison epidemiological findings from the “Triveneto” area, 2010–2016
G Castelpietra, L Egidi, M Caneva, S Gambino, T Feresin, A Mariotto, ...
International journal of law and psychiatry 61, 6-12, 2018
72018
Maxima Units Search (MUS) algorithm: methodology and applications
L Egidi, R Pappadà, F Pauli, N Torelli
https://arxiv.org/abs/1611.01069, 0
3*
Bayesian Mendelian Randomization identifies disease causing proteins via pedigree data, partially observed exposures and correlated instruments
T Fazia, L Egidi, B Ayoglu, A Beecham, PP Bitti, A Ticca, JL McCauley, ...
arXiv preprint arXiv:1903.00682, 2019
12019
K-means seeding via MUS algorithm
L Egidi, R Pappada, F Pauli, N Torelli
Abbruzzo, A. Brentari, E., Chiodi, M., and D. Piacentino (eds.), Book of …, 2018
12018
pivmet: Pivotal methods for Bayesian relabelling and k-means clustering
L EGIDI, R PAPPADA, F PAULI, N TORELLI
12018
Comparing Goal-Based and Result-Based Approaches in Modelling Football Outcomes
L Egidi, N Torelli
Social Indicators Research, 1-13, 2020
2020
Mendelian Randomization with Incomplete Exposure Data: a Bayesian Approach
T Fazia, L Egidi, B Ayoglu, A Beecham, PP Bitti, A Ticca, H Guo, ...
arXiv preprint arXiv:2002.04872, 2020
2020
A Bayesian Quest for Finding a Unified Model for Predicting Volleyball Games
L Egidi, I Ntzoufras
arXiv preprint arXiv:1911.01815, 2019
2019
Bayesian Mendelian Randomization for incomplete pedigree data, and the characterisation of Multiple Sclerosis proteins
T Fazia, L Egidi, B Ayoglu, A Beechan, PP Botti, A Ticca, JL McCauley
EUT Edizioni Università di Trieste, 2019
2019
Comparing statistical models and machine learning algorithms in predicting football outcomes
L Egidi, N Torelli
Statistics for Health and Well-being, 93-96, 2019
2019
Pivotal seeding for K-means based on clustering ensembles
L Egidi, R Pappada, F Pauli, N Torelli
2019
Bayesian hierarchical models for predicting individual performance in soccer
L Egidi, J Gabry
Journal of Quantitative Analysis in Sports 14 (3), 143-157, 2018
2018
Developments in Bayesian Hierarchical Models and Prior Specification with Application to Analysis of Soccer Data
L Egidi
2018
Are the shots predictive for the football results?
L Egidi, F Pauli, N Torelli
Pearson, 2018
2018
Mixture Data-Dependent Priors
L Egidi, F Pauli, N Torelli
arXiv preprint arXiv:1708.00099, 2017
2017
Bayesian hierarchical models for predicting individual performance in football (soccer)
L Egidi, JS Gabry
Proceedings of MathSport International 2017 Conference, 112, 2017
2017
Relabelling in Bayesian mixture models
L Egidi, R Pappadà, F Pauli, N Torelli
arXiv:1501.05478v2, 2016
2016
stan_foot: Fit football models with Stan
L Egidi
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