Lea Petrella

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:

Expectile hidden Markov regression models for analyzing cryptocurrency returns

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

M‐quantile regression shrinkage and selection via the Lasso and Elastic Net to assess the effect of meteorology and traffic on air quality

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

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

Google Scholar

Lea Petrella Skills & Research Interests

Statistics

Top articles of Lea Petrella

Expectile hidden Markov regression models for analyzing cryptocurrency returns

Statistics and Computing

2024/4

Luca Merlo
Luca Merlo

H-Index: 2

Lea Petrella
Lea Petrella

H-Index: 14

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

2024/3/26

Luca Merlo
Luca Merlo

H-Index: 2

Lea Petrella
Lea Petrella

H-Index: 14

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

Annals of Actuarial Science

2024/3

Susanna Levantesi
Susanna Levantesi

H-Index: 6

Lea Petrella
Lea Petrella

H-Index: 14

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

Insurance: Mathematics and Economics

2024/2/13

The network of commodity risk

Energy Systems

2024/2

Lea Petrella
Lea Petrella

H-Index: 14

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

2023/12

Lea Petrella
Lea Petrella

H-Index: 14

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

2023/11/1

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

Journal of the American Statistical Association

2023/9/28

Luca Merlo
Luca Merlo

H-Index: 2

Lea Petrella
Lea Petrella

H-Index: 14

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

arXiv preprint arXiv:2309.05084

2023/9/10

Estimating causal quantile exposure response functions via matching

arXiv preprint arXiv:2308.01628

2023/8/3

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

arXiv preprint arXiv:2307.06400

2023/7/12

Luca Merlo
Luca Merlo

H-Index: 2

Lea Petrella
Lea Petrella

H-Index: 14

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

Annals of Operations Research

2023/5/17

Vincenzo Candila
Vincenzo Candila

H-Index: 5

Lea Petrella
Lea Petrella

H-Index: 14

New advances in Regression Forests

2023

Lea Petrella
Lea Petrella

H-Index: 14

Using expectile regression with latent variables for digital assets

2023

Luca Merlo
Luca Merlo

H-Index: 2

Lea Petrella
Lea Petrella

H-Index: 14

Two-part quantile regression models for semi-continuous longitudinal data: A finite mixture approach

Statistical Modelling

2022/12

Luca Merlo
Luca Merlo

H-Index: 2

Lea Petrella
Lea Petrella

H-Index: 14

Inter-order relations between moments of a Student distribution, with an application to -quantiles

arXiv preprint arXiv:2209.12855

2022/9/26

Marginal M-quantile regression for multivariate dependent data

Computational Statistics & Data Analysis

2022/9/1

Luca Merlo
Luca Merlo

H-Index: 2

Lea Petrella
Lea Petrella

H-Index: 14

Quantile hidden semi-Markov models for multivariate time series

Statistics and Computing

2022/8

COVID-19 after lung resection in northern Italy

Seminars in Thoracic and Cardiovascular Surgery

2022/6/1

Luca Merlo
Luca Merlo

H-Index: 2

Lea Petrella
Lea Petrella

H-Index: 14

A Neural Network approach to measure health insurance risk

2022/5/30

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