Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 10 Reduced Inequalities -
SDG 13 Climate Action
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Dive into the research topics where Aldo GOIA is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Valutazione di prodotti derivati e gestione del rischio controparte
CENTRONE, F. (PI), GOIA, A. (CoI), FUSAI, G. (CoI) & VOLA, P. (CoI)
Università degli studi del Piemonte Orientale Amedeo Avogadro
Project: Research
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FFABR 2017- Fondo di finanziamento per le attività base di ricerca
GOIA, A. (PI)
MIUR - Ministero dell'Istruzione, dell'Università e della Ricerca
1/02/18 → 1/02/21
Project: Research
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A Link Function Specification Test in the Single Functional Index Model
CHAN, K. L., Delsol, L. & GOIA, A., 2026, In: Advances in Data Analysis and Classification. 20, p. 323-354 32 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Confidence Interval for the complexity index of functional data
BONGIORNO, E. G., CHAN, K. L. & GOIA, A., 18 May 2026, (Accepted/In press). 4 p.Research output: Contribution to conference › Paper › peer-review
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Decomposing Complexity Mixture Processes on Metric Spaces
BONGIORNO, E. G., CHAN, K. L. & GOIA, A., 2026, In: Journal of Statistical Computation and Simulation. 96, 2, p. 446-470 25 p.Research output: Contribution to journal › Article › peer-review
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Weighted Pseudo-Metrics for Finite-Sample Improvement in Functional Nonparametric Regression
CHAN, K. L., Laurent, D. & GOIA, A., 2026, p. 573-577. 5 p.Research output: Contribution to conference › Paper › peer-review
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Analysing the Complexity Mixture Structure of Daily Probability Densities of Bitcoin Returns.
BONGIORNO, E. G., CHAN, K. L. & GOIA, A., 2025, p. 61-68. 8 p.Research output: Contribution to conference › Paper › peer-review