Pierfrancesco Alaimo Di Loro

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Assistant Professor - RTDa

Libera Università Maria Santissima Assunta

Italy

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About

Pierfrancesco Alaimo Di Loro is an Assistant Professor at Libera Università Maria Santissima Assunta in Italy. His research areas include statistical learning models, population size estimation, epidemiological modeling, and health expenditure analysis. Notable recent articles focus on dyslexia identification, COVID-19 infection rates, and the modeling of road accidents and marine wildlife populations. He contributes to advancing methodologies in statistical analysis within various health and environmental contexts.

Recent Grants

Grant: Close

JCDM - Joint Cetacean Database and Mapping

Open Date: 2020-12-01

Close Date:

Grant: Close

Hierarchical spatio-temporal modeling in high-dimensional settings

Open Date: 2019-09-01

Close Date: 2020-04-01

Grant: Close

Species Distribution Modeling from Bottom Trawl survey in the Mediterranean Sea

Open Date: 2019-01-01

Close Date: 2020-01-01

Grant: Close

Bayesian Population size Estimation with a Single Sample

Open Date: 2018-01-01

Close Date: 2019-01-01

Articles (23)

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2020

Collaborators (19)

massimo ciccozzi

associate professor

ITALY

Pierfrancesco Alaimo Di Loro

Research Interests

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About

Recent Grants

Articles (23)

StatGroup-19’s contribution to the Discussion of 'Some statistical aspects of the Covid-19 response' by Wood et al

A Statistical Learning‐Based Clustering Model With Features Selection to Identify Dyslexia in School‐Aged Children

On the robustness of the Chao's estimator with covariate information and measurement error for population size estimation

A Bayesian spatio-temporal Poisson auto-regressive model for the disease infection rate: application to COVID-19 cases in England

Viral Hepatitis: Host Immune Interaction, Pathogenesis and New Therapeutic Strategies

Finite mixtures in capture–recapture surveys for modeling residency patterns in marine wildlife populations

A semi-parametric maximum-likelihood analysis of measurement error in population size estimation

Semi-parametric Spatio-Temporal Hawkes Process for Modelling Road Accidents in Rome

Beyond catastrophic payments: modeling household health expenditure shares with endogenous selection

A useful parametric specification to model epidemiological data: Revival of the Richards’ curve

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

CO2 emissions and growth: A bivariate bidimensional mean‐variance random effects model

Virtual and Reality: A Neurophysiological Pilot Study of the Sarcophagus of the Spouses

2-step Gradient Boosting approach to selectivity bias correction in tax audit: an application to the VAT gap in Italy

Bayesian hierarchical modeling and analysis for actigraph data from wearable devices

What about chronotropic incompetence in heart failure with mildly reduced ejection fraction? Clinical and prognostic implications from the Metabolic Exercise combined with Cardiac and Kidney Indexes score dataset

Two years of COVID‐19 pandemic: The Italian experience of Statgroup‐19

Spatio-temporal modelling of COVID-19 incident cases using Richards’ curve: An application to the Italian regions

Decreased severity of the Omicron variant of concern: further evidence from Italy

Nowcasting COVID‐19 incidence indicators during the Italian first outbreak

Capitoline Dolphins: Residency Patterns and Abundance Estimate of <i>Tursiops truncatus</i> at the Tiber River Estuary (Mediterranean Sea)

A non-parametric Hawkes process model of primary and secondary accidents on a UK smart motorway

I stay at home with headache. A survey to investigate how the lockdown for COVID-19 impacted on headache in Italian children.

Collaborators (19)

massimo ciccozzi

Radosław Idzikowski

Vincenzo Guidetti

Vincenza FERRARA

Veronika Eclerová

Lenka Pribylova

Jan Trnka

Fabio Babiloni

Giovanna Jona Lasinio

David Kraus

Rafał Bartczuk

Bryan Lewis

Daria Sanna

Clara Prats

Daniele Ventura

Alessio Farcomeni

Antonello MARUOTTI

Gianfranco Lovison

Enrique Alvarez Lacalle

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