Lea Petrella

Lea Petrella

Sapienza Università di Roma

H-index: 21

Europe-Italy

About Lea Petrella

Lea Petrella, With an exceptional h-index of 21 and a recent h-index of 16 (since 2020), a distinguished researcher at Sapienza Università di Roma, specializes in the field of Statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Hidden Markov graphical models with generalized hyperbolic distributions: a financial analysis on commodities and green energy indexes

Neural networks for quantile claim amount estimation: a quantile regression approach

Inter-order relations between equivalence for Lp-quantiles of the Student's t distribution

The network of commodity risk

Expectile hidden Markov regression models for analyzing cryptocurrency returns

EP07. 01-09 Can the Use of New Haemostatic Agent Improve Short Term Outcomes of Surgically Treated Non-small Cell Lung Cancer Patients?

Mixed-frequency quantile regressions to forecast value-at-risk and expected shortfall

Unified Unconditional Regression for Multivariate Quantiles, M-Quantiles, and Expectiles

Lea Petrella Information

University

Position

Professor

Citations(all)

1926

Citations(since 2020)

1068

Cited By

1230

hIndex(all)

21

hIndex(since 2020)

16

i10Index(all)

31

i10Index(since 2020)

23

Email

University Profile Page

Sapienza Università di Roma

Google Scholar

View Google Scholar Profile

Lea Petrella Skills & Research Interests

Statistics

Top articles of Lea Petrella

Title

Journal

Author(s)

Publication Date

Hidden Markov graphical models with generalized hyperbolic distributions: a financial analysis on commodities and green energy indexes

Beatrice Foroni

Luca Merlo

Lea Petrella

2024/3/26

Neural networks for quantile claim amount estimation: a quantile regression approach

Annals of Actuarial Science

Alessandro G Laporta

Susanna Levantesi

Lea Petrella

2024/3

Inter-order relations between equivalence for Lp-quantiles of the Student's t distribution

Insurance: Mathematics and Economics

Valeria Bignozzi

Luca Merlo

Lea Petrella

2024/2/13

The network of commodity risk

Energy Systems

Beatrice Foroni

Giacomo Morelli

Lea Petrella

2024/2

Expectile hidden Markov regression models for analyzing cryptocurrency returns

Statistics and Computing

Beatrice Foroni

Luca Merlo

Lea Petrella

2024/4

EP07. 01-09 Can the Use of New Haemostatic Agent Improve Short Term Outcomes of Surgically Treated Non-small Cell Lung Cancer Patients?

Journal of Thoracic Oncology

S Ricciardi

D Alunni Fegatelli

S Volpi

F Femia

L Petrella

...

2023/11/1

Mixed-frequency quantile regressions to forecast value-at-risk and expected shortfall

Annals of Operations Research

Vincenzo Candila

Giampiero M Gallo

Lea Petrella

2023/5/17

Unified Unconditional Regression for Multivariate Quantiles, M-Quantiles, and Expectiles

Journal of the American Statistical Association

Luca Merlo

Lea Petrella

Nicola Salvati

Nikos Tzavidis

2023/9/28

New advances in Regression Forests

Mila Andreani

Lea Petrella

Nicola Salvati

2023

Quantile mixed graphical models with an application to mass public shootings in the United States

arXiv preprint arXiv:2309.05084

Luca Merlo

Marco Geraci

Lea Petrella

2023/9/10

Using expectile regression with latent variables for digital assets

Beatrice Foroni

Luca Merlo

Lea Petrella

2023

Estimating causal quantile exposure response functions via matching

arXiv preprint arXiv:2308.01628

Luca Merlo

Francesca Dominici

Lea Petrella

Nicola Salvati

Xiao Wu

2023/8/3

Quantile and expectile copula-based hidden Markov regression models for the analysis of the cryptocurrency market

arXiv preprint arXiv:2307.06400

Beatrice Foroni

Luca Merlo

Lea Petrella

2023/7/12

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

M Giovanna Ranalli

Nicola Salvati

Lea Petrella

Francesco Pantalone

2023/12

Quantile Regression Forest for Value-at-Risk Forecasting Via Mixed-Frequency Data

Mila Andreani

Vincenzo Candila

Lea Petrella

2022/4/12

Marginal M-quantile regression for multivariate dependent data

Computational Statistics & Data Analysis

Luca Merlo

Lea Petrella

Nicola Salvati

Nikos Tzavidis

2022/9/1

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

Luca Merlo

Lea Petrella

Nikos Tzavidis

2022/3

Quantile hidden semi-Markov models for multivariate time series

Statistics and Computing

Luca Merlo

Antonello Maruotti

Lea Petrella

Antonio Punzo

2022/8

COVID-19 after lung resection in northern Italy

Seminars in Thoracic and Cardiovascular Surgery

Marco Scarci

Federico Raveglia

Luigi Bortolotti

Mauro Benvenuti

Luca Merlo

...

2022/6/1

Sparse simulation-based estimator built on quantiles

Econometrics and Statistics

Paola Stolfi

Mauro Bernardi

Lea Petrella

2022/2/10

See List of Professors in Lea Petrella University(Sapienza Università di Roma)