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» Authors » Stefano Castruccio

Stefano Castruccio

Explore the profile of Stefano Castruccio including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 6
Citations 83
Followers 0
Related Specialties
Environmental Health
Public Health
Top 10 Co-Authors
Paola Crippa
Diogo Bolster
Christopher K Wikle
Abhirup Datta
Wesley S Burr
Indulekha Kavila
Edward L Boone
Bhava Vyasa Hari
Mariana Alifa
Susan J Simmons
Published In
Environmetrics
Biometrics
Environ Res
Lancet Planet Health
Appl Opt
Affiliations
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Recent Articles
1.
Assessing predictability of environmental time series with statistical and machine learning models
Bonas M, Datta A, Wikle C, Boone E, Alamri F, Hari B, et al.
Environmetrics . 2025 Feb; 36(1). PMID: 40017797
The ever increasing popularity of machine learning methods in virtually all areas of science, engineering and beyond is poised to put established statistical modeling approaches into question. Environmental statistics is...
2.
Uncertainty Reduction and Environmental Justice in Air Pollution Epidemiology: The Importance of Minority Representation
Alifa M, Castruccio S, Bolster D, Bravo M, Crippa P
Geohealth . 2023 Oct; 7(10):e2023GH000854. PMID: 37780098
Ambient air pollution is an increasing threat to society, with rising numbers of adverse outcomes and exposure inequalities worldwide. Reducing uncertainty in health outcomes models and exposure disparity studies is...
3.
An illustration of model agnostic explainability methods applied to environmental data
Wikle C, Datta A, Hari B, Boone E, Sahoo I, Kavila I, et al.
Environmetrics . 2023 May; 34(1). PMID: 37200542
Historically, two primary criticisms statisticians have of machine learning and deep neural models is their lack of uncertainty quantification and the inability to do inference (i.e., to explain what inputs...
4.
Information entropy tradeoffs for efficient uncertainty reduction in estimates of air pollution mortality
Alifa M, Castruccio S, Bolster D, Bravo M, Crippa P
Environ Res . 2022 Jun; 212(Pt D):113587. PMID: 35654155
Implementing effective policy to protect human health from the adverse effects of air pollution, such as premature mortality, requires reducing the uncertainty in health outcomes models. Here we present a...
5.
Spatial modeling of mid-infrared spectral data with thermal compensation using integrated nested Laplace approximation
Aquino B, Castruccio S, Gupta V, Howard S
Appl Opt . 2021 Oct; 60(27):8609-8615. PMID: 34612963
The problem of analyzing substances using low-cost sensors with a low signal-to-noise ratio (SNR) remains challenging. Using accurate models for the spectral data is paramount for the success of any...
6.
Short-term and long-term health impacts of air pollution reductions from COVID-19 lockdowns in China and Europe: a modelling study
Giani P, Castruccio S, Anav A, Howard D, Hu W, Crippa P
Lancet Planet Health . 2020 Sep; 4(10):e474-e482. PMID: 32976757
Background: Exposure to poor air quality leads to increased premature mortality from cardiovascular and respiratory diseases. Among the far-reaching implications of the ongoing COVID-19 pandemic, a substantial improvement in air...
7.
A scalable multi-resolution spatio-temporal model for brain activation and connectivity in fMRI data
Castruccio S, Ombao H, Genton M
Biometrics . 2018 Jan; 74(3):823-833. PMID: 29359375
Functional Magnetic Resonance Imaging (fMRI) is a primary modality for studying brain activity. Modeling spatial dependence of imaging data at different spatial scales is one of the main challenges of...