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Tullia Padellini
Observed names:
PADELLINI, TULLIA,
Padellini, Tullia
Institution:
Bank of Italy
Observed institutions:
Bank of Italy,
Royal Statistical Society,
The Alan Turing Institute,
MRC Centre for Environment and Health,
Imperial College London,
Sapienza University of Rome
show all 6
ORCID:
0000-0001-8456-0256
Observed ORCID:
0000-0001-8456-0256
OpenAlex ID:
A5045987515
Long-term exposure to air-pollution and COVID-19 mortality in England: A hierarchical spatial analysis
2020
·
Garyfallos Konstantinoudis
, Tullia Padellini
, et al.
·
Environment International
·
159
Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: A population-based ecological study
2022
·
Tullia Padellini
, Radka Jersakova
, et al.
·
The Lancet Regional Health - Europe
·
49
PDF
Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing framework
2021
·
George Nicholson
, Brieuc Lehmann
, et al.
·
Nature Microbiology
·
49
PDF
Interoperability of Statistical Models in Pandemic Preparedness: Principles and Reality
2022
·
George Nicholson
, Marta Blangiardo
, et al.
·
Statistical Science
·
23
Model-aware Quantile Regression for Discrete Data
2018
·
Padellini, Tullia
, Rue, Haavard
·
arXiv (Cornell University)
·
16
PDF
A Mathematical Programming Approach to Sparse Canonical Correlation Analysis
2023
·
Lavinia Amorosi
, Tullia Padellini
, et al.
·
Expert Systems with Applications
·
15
Inputs in Distress: Geoeconomic Fragmentation and Firms’ Sourcing
2024
·
Ludovic Panon
, Laura Lebastard
, et al.
·
European Economic Review
·
8
PDF
Inputs in Distress: Geoeconomic Fragmentation and Firms' Sourcing
2025
·
Ludovic Panon
, Laura Lebastard
, et al.
·
SSRN Electronic Journal
·
7
A Bayesian hierarchical small area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and Decennial census data
2024
·
Emily N. Peterson
, Rachel C. Nethery
, et al.
·
The Annals of Applied Statistics
·
6
PDF
Joint quantile disease mapping with application to malaria and G6PD deficiency
2024
·
Hanan Alahmadi
, Janet van Niekerk
, et al.
·
Royal Society Open Science
·
6
Supervised learning with indefinite topological Kernels
2021
·
Tullia Padellini
, Pierpaolo Brutti
·
Statistics
·
6
PDF
Model-based Quantile Regression for Discrete Data
2018
·
Tullia Padellini
, Håvard Rue
·
arXiv (Cornell University)
·
6
Inputs in Distress: Geoeconomic Fragmentation and Firms’ Sourcing
2024
·
Ludovic Panon
, Laura Lebastard
, et al.
·
SSRN Electronic Journal
·
5
Persistence Flamelets: Topological Invariants for Scale Spaces
2022
·
Tullia Padellini
, Pierpaolo Brutti
·
Journal of Computational and Graphical Statistics
·
5
PDF
Navigating Fragmentation Risks: China Exposure and Supply Chains Reorganization among Italian Firms
2023
·
Marco Bottone
, Michele Mancini
, et al.
·
SSRN Electronic Journal
·
4
Response to “Re: Long-term exposure to air-pollution and COVID-19 mortality in England: A hierarchical spatial analysis”
2021
·
Garyfallos Konstantinoudis
, Tullia Padellini
, et al.
·
Environment International
·
2
Embracing the Digital Transition: The Adoption of Cloud Computing and AI by Italian Firms
2025
·
Lorenzo Bencivelli
, Sara Formai
, et al.
·
Research Square
·
1
Firm-Level Uncertainty and Output Prices
2026
·
Elena Mattevi
, Tullia Padellini
·
SSRN Electronic Journal
Inputs in Geopolitical Distress: A Risk Assessment Based on Micro Data Author-Name: Alessandro Borin
2024
·
Alessandro Borin
, Gianmarco Cariola
, et al.
·
SSRN Electronic Journal
Inputs in Distress: Geoeconomic Fragmentation and Firms’ Sourcing
2024
·
Jacopo Timini
, Ludovic Panon
, et al.
·
SSRN Electronic Journal
Author response for "Joint quantile disease mapping with application to malaria and G6PD deficiency"
2023
·
Hanan Alahmadi
, Janet van Niekerk
, et al.
·
Publons reviews and discussion
Author response for "Joint quantile disease mapping with application to malaria and G6PD deficiency"
2023
·
Hanan Alahmadi
, Janet van Niekerk
, et al.
·
Publons reviews and discussion
etree: Classification and Regression with Structured and Mixed-Type Data
2022
·
Riccardo Giubilei
, Tullia Padellini
, et al.
PDF
Energy Trees: Regression and Classification With Structured and Mixed-Type Covariates
2022
·
Giubilei, Riccardo
, Padellini, Tullia
, et al.
·
arXiv (Cornell University)
PDF
Statistical Learning with Kernel for Persistence Diagrams [R package kernelTDA version 1.0.0]
2020
·
Tullia Padellini
, Francesco Palini
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Works count:
41
Citation count:
367
H-index:
7
I10-index:
6
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