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lea.petrella@uniroma1.it
Lea Petrella
Professore Ordinario
Struttura:
DIPARTIMENTO DI METODI E MODELLI PER L'ECONOMIA, IL TERRITORIO E LA FINANZA
E-mail:
lea.petrella@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Expectile hidden Markov regression models for analyzing cryptocurrency returns
STATISTICS AND COMPUTING
2024
Quantile and expectile copula-based hidden Markov regression models for the analysis of the cryptocurrency market
STATISTICAL MODELLING
2024
Mixed-frequency quantile regressions to forecast value-at-risk and expected shortfall
ANNALS OF OPERATIONS RESEARCH
2023
Neural Networks for quantile claim amount estimation: aq auntile regression approach
ANNALS OF ACTUARIAL SCIENCE
2023
Using expectile regression with latent variables for digital assets
Book of short papers SIS 2023
2023
M-quantile regression shrinkage and selection via the Lasso and Elastic Net to assess the effect of meteorology and traffic on air quality
BIOMETRICAL JOURNAL
2023
Unified Unconditional Regression for Multivariate Quantiles, M-Quantiles, and Expectiles
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
2023
New advances in Regression Forests
Statistical Learning, Sustainability and Impact Evaluation
2023
Quantile-based graphical models for continuous and discrete variables
Statistical Learning, Sustainability and Impact Evaluation
2023
Quantile mixed hidden Markov models for multivariate longitudinal data: An application to children's Strengths and Difficulties Questionnaire scores
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS
2022
Graphical Models for Commodities: A Quantile Approach
Graphical Models for Commodities: A Quantile Approach
2022
Marginal M-quantile regression for multivariate dependent data
COMPUTATIONAL STATISTICS & DATA ANALYSIS
2022
The network of commodity risk
ENERGY SYSTEMS
2022
Analyzing the Correlation Structure of Financial Markets Using a Quantile Graphical Model
Book of the Short Papers
2022
Quantile hidden semi-Markov models for multivariate time series
STATISTICS AND COMPUTING
2022
Sparse simulation-based estimation built on quantiles
ECONOMETRICS AND STATISTICS
2022
Hidden semi-Markov-switching quantile regression for time series
COMPUTATIONAL STATISTICS & DATA ANALYSIS
2021
COVID-19 After Lung Resection in Northern Italy
SEMINARS IN THORACIC AND CARDIOVASCULAR SURGERY
2021
Two-part quantile regression models for semi-continuous longitudinal data: A finite mixture approach
STATISTICAL MODELLING
2021
Directional M-quantile regression for multivariate dependent outcomes
2021
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Progetti di Ricerca
Generalized Dynamic Graphical Models for the impact of the COVID-19 pandemic on financial markets.
Penalized quantile regression for risk assessment
Multivariate quantile regression, new perspective
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