46 citations · 77 across the 10 of their papers we have counts for
10 papers
Towards Efficient Inference under Nonmonotone Missingness with General Imputation
Qi Xu, Lorenzo Testa, Jing Lei +1
Missing data are ubiquitous in classical survey and longitudinal studies as well as modern multi-modality data analysis. A longstanding challenge arises under nonmonotone missingne…
Rescuing double robustness: safe estimation under complete misspecification
Lorenzo Testa, Francesca Chiaromonte, Kathryn Roeder
Double robustness is a major selling point of semiparametric and missing data methodology. Its virtues lie in protection against partial nuisance misspecification and asymptotic se…
Semiparametric semi-supervised learning for general targets under distribution shift and decaying overlap
Lorenzo Testa, Qi Xu, Jing Lei +1
In modern scientific applications, large volumes of covariate data are readily available, while outcome labels are costly, sparse, and often subject to distribution shift. This asy…
Doubly-Robust Functional Average Treatment Effect Estimation
Lorenzo Testa, Tobia Boschi, Francesca Chiaromonte +2
Understanding causal relationships in the presence of complex, structured data remains a central challenge in modern statistics and science in general. While traditional causal inf…
A unified repository for pre-processed climate data weighted by gridded economic activity
Marco Gortan, Lorenzo Testa, Giorgio Fagiolo +1
Although high-resolution gridded climate variables are provided by multiple sources, the need for country and region-specific climate data weighted by indicators of economic activi…
Contrasting pre-vaccine COVID-19 waves in Italy through Functional Data Analysis
Tobia Boschi, Jacopo Di Iorio, Lorenzo Testa +2
We use data from 107 Italian provinces to characterize and compare mortality patterns in the first two COVID-19 epidemic waves, which occurred prior to the introduction of vaccines…
FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions
Tobia Boschi, Lorenzo Testa, Francesca Chiaromonte +1
Functional regression analysis is an established tool for many contemporary scientific applications. Regression problems involving large and complex data sets are ubiquitous, and f…
Venture Capital investments through the lens of Network and Functional Data Analysis
Christian Esposito, Marco Gortan, Lorenzo Testa +4
In this paper we characterize the performance of venture capital-backed firms based on their ability to attract investment. The aim of the study is to identify relevant predictors…
Can you always reap what you sow? Network and functional data analysis of VC investments in health-tech companies
Christian Esposito, Marco Gortan, Lorenzo Testa +4
"Success" of firms in venture capital markets is hard to define, and its determinants are still poorly understood. We build a bipartite network of investors and firms in the health…
The shapes of an epidemic: using Functional Data Analysis to characterize COVID-19 in Italy
Tobia Boschi, Jacopo Di Iorio, Lorenzo Testa +2
We investigate patterns of COVID-19 mortality across 20 Italian regions and their association with mobility, positivity, and socio-demographic, infrastructural and environmental co…