Details about Sami Mestiri
Access statistics for papers by Sami Mestiri.
Last updated 2024-03-28. Update your information in the RePEc Author Service.
Short-id: pme930
Jump to Journal Articles
Working Papers
2024
- Financial applications of machine learning using R software
MPRA Paper, University Library of Munich, Germany
2023
- How to use machine learning in finance
(How to use machine learning in finance)
MPRA Paper, University Library of Munich, Germany
- Nonparametric regression models: theories and applications in R
(Les modèles de régression non paramétriques: théories et applications sous R)
Working Papers, HAL
- Using R software to applied econometrics
Working Papers, HAL
2021
- La modélisation de la dynamique des volatilités et des corrélations entre les prix des matières premières et les rendements boursiers
Working Papers, HAL
- Modelling the volatility of Bitcoin returns using Nonparametric GARCH models
MPRA Paper, University Library of Munich, Germany
- Personal loan simulation using R shiny
(Simulation de prêt personnel en utilisant R shiny)
Working Papers, HAL
2019
- Bayesian Structural VAR Approach to Tunisian Monetary Policy Framework
MPRA Paper, University Library of Munich, Germany
- How to use the R software
MPRA Paper, University Library of Munich, Germany View citations (2)
2018
- Credit Risk Prediction based on Bayesian estimation of logistic regression model with random effects
MPRA Paper, University Library of Munich, Germany
Journal Articles
2024
- Artificial Intelligence Techniques for Bankruptcy Prediction of Tunisian Companies: An Application of Machine Learning and Deep Learning-Based Models
JRFM, 2024, 17, (4), 1-14 View citations (4)
2021
- BAYESIAN STRUCTURAL VAR APPROCH TO TUNISIAN MONETARY POLICY FARMEWORK
Journal of Smart Economic Growth, 2021, 6, (2), 67-77 View citations (1)
- Using Non-parametric Count Model for Credit Scoring
Journal of Quantitative Economics, 2021, 19, (1), 39-49 View citations (3)
2014
- Bankruptcy prediction for Tunisian firms: An application of semi-parametric logistic regression and neural networks approach
Economics Bulletin, 2014, 34, (1), 133-143 View citations (3)
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